Location: Remote
Experience: 6–10 years

About Rapid Alpha

Rapid Alpha is building EVOS, a platform designed to make AI usable for serious business decisions.

General-purpose LLM tools are powerful but unreliable. EVOS solves this by combining curated datasets, structured taxonomies, and AI workflows to produce evidence-based intelligence on technologies, markets, and companies.

The platform integrates:

• structured knowledge graphs
• document ingestion pipelines
• AI-assisted analysis workflows
• scalable SaaS infrastructure

Our long-term vision is for EVOS to become:

• the marketplace for curated datasets from domain experts
• the marketplace for reusable prompts and AI workflows
• the operating system for strategic decision-making

The Role

We are looking for a Senior Backend Engineer (Python) to help architect and scale the EVOS platform.

This role is ideal for a backend engineer who enjoys building data-heavy, AI-enabled SaaS systems and wants to work close to product architecture.

You will primarily work in Python services and cloud infrastructure, while collaborating with the frontend team building the platform interface in React.

This is not a ticket-driven development role. You will help shape the architecture of a system that integrates data ingestion, AI pipelines, and interactive applications.

What You’ll Build

You will contribute to the core infrastructure behind the EVOS platform:

Backend Services

• Build and scale backend services in Python (Flask / FastAPI)
• Design and maintain REST APIs powering the platform
• Implement async processing pipelines for AI workloads
• Build systems for document ingestion, classification, and analysis

Data & AI Workflows

• Integrate LLM and AI services into product workflows
• Build data pipelines supporting NLP, embeddings, and semantic search
• Work with structured datasets that power technology and market intelligence

Infrastructure & Scaling

• Design systems that handle concurrent workloads and background processing
• Implement queue-based architectures for batch workloads
• Optimize performance across PostgreSQL, Redis, and AWS infrastructure

Platform Architecture

• Help shape a scalable SaaS architecture
• Ensure AI workloads do not disrupt application stability
• Improve system reliability and observability

Technology Stack

Core stack:

Backend

• Python (Flask / FastAPI)
• REST APIs
• asynchronous processing

Frontend

• React
• JavaScript

Infrastructure

• AWS (EC2, S3, RDS)
• containerized workloads

Data

• PostgreSQL
• Redis / queue systems

AI

• OpenAI / LLM APIs
• NLP workflows
• embeddings / vector search (preferred)

What We’re Looking For

Core Engineering Skills

• 6–10 years of backend or full-stack engineering experience
• Strong backend development in Python
• Experience designing scalable APIs and backend services
• Experience working with PostgreSQL in production environments

Systems & Architecture

Experience building or operating systems involving:

• background job processing
• asynchronous workloads
• distributed services
• scalable SaaS platforms

Cloud Infrastructure

Experience deploying production systems on:

• AWS
• containerized workloads
• CI/CD pipelines

Frontend Familiarity

Comfort collaborating with frontend teams using:

• React
• modern JavaScript

You do not need to be a frontend specialist but should be comfortable working in a full-stack environment.

• building AI-enabled applications
• integrating OpenAI or similar LLM APIs
• working with NLP pipelines
• designing queue-based architectures
• experience with data pipelines or document ingestion systems

---

What Makes This Role Unique

This is not just another SaaS fullstack job.

You will help build a platform that:

• structures global technology intelligence
• integrates AI into decision-making workflows
• enables companies to analyze markets and innovation systems

The platform combines knowledge graphs, AI workflows, and scalable cloud infrastructure to power evidence-based strategic analysis.

Why Join Rapid Alpha

• 11-Month Work Year
  Rapid Alpha operates on an intentional schedule that includes two company-wide recharge breaks each year (July and late December), plus federal holidays and additional PTO.
• Work on a platform at the intersection of AI, data, and strategy
• High ownership and architectural influence
• Build systems used by leaders making high-stakes decisions
• Remote-first environment with flexible work structure

SaaS Infrastructure, Reliability & Multi-Tenant Scaling

Why This Role Exists

Rapid Alpha is executing a 2026 transition:

From: Analyst-heavy, manually scaled delivery
To: Platform-leveraged execution through EVOS

Our objective is clear:

Increase margin.
Increase client concurrency.
Increase reliability.
Without increasing operational fragility.

Today:

• AI workloads (embedding, indexing, classification) can strain infrastructure.
• Web and compute workloads must be cleanly isolated.
• Client concurrency must scale predictably.
• Infrastructure discipline must match product ambition.

You are not joining to “manage servers.”

You are joining to ensure the system holds under growth.

This role protects revenue and enables scale.

The System You Will Inherit

You step into a live, revenue-generating SaaS environment:

• Laravel-based web application
• Python services for AI workloads
• PostgreSQL database
• AWS infrastructure (EC2, RDS, S3)
• Multi-tenant client usage
• Growing concurrent document-processing demands

Current constraint:

AI workloads and application workloads must be cleanly separated and scaled.

The foundation exists.
Your responsibility is to professionalize and harden it.

What You Own (Non-Negotiable)

1️⃣ System Stability & Isolation

You will:

• Separate web tier from worker tier
• Implement and maintain queue-driven architecture
• Ensure embedding and classification jobs never degrade web performance
• Design horizontal scaling strategies
• Implement resource limits and concurrency controls

If the system degrades under load, you own the diagnosis.

2️⃣ Multi-Tenant Scalability

As we onboard more clients, you ensure:

• Client workloads do not interfere with one another
• Background processing scales predictably
• Capacity planning anticipates growth
• Infrastructure bottlenecks are identified before failure

Scaling revenue must not increase fragility.

3️⃣ Observability & Operational Discipline

You will implement:

• Monitoring and alerting
• Logging and traceability
• Performance metrics dashboards
• Incident documentation practices
• Environment parity (dev/staging/prod)

Engineering discipline is part of margin expansion.

4️⃣ Collaboration with AI Systems Architect

You will work closely with the Principal AI Systems Architect to ensure:

• AI workflows are async and queue-driven
• Concurrency is managed intentionally
• Rate limiting and retry logic are robust
• Infrastructure scales before demand forces it

You own the system layer.
They own the intelligence layer.

P&L Impact

This role directly impacts:

• Client retention (no instability under growth)
• Revenue capacity (more concurrent workloads)
• Operational cost control
• Founder risk exposure
• Long-term platform valuation

Stable infrastructure is a revenue multiplier.

Fragile infrastructure is a growth limiter.

What You Must Be Able To Explain

• How to isolate CPU-bound AI jobs from web application workloads.
• How to design a queue-based architecture for large document processing.
• What fails first under concurrency (DB, memory, CPU, IO) and how to mitigate it.
• How to scale AWS infrastructure predictably.
• How to introduce observability in a growing SaaS system.

If you cannot articulate failure modes, this role is not a fit.

Required Experience

• 6–10+ years backend/infrastructure engineering
• Strong AWS experience (EC2, RDS, autoscaling, networking)
• Experience implementing queue systems (SQS, Redis, RabbitMQ, etc.)
• Experience scaling multi-tenant SaaS platforms
• Strong understanding of distributed system constraints
• Familiarity working in mixed-stack environments (PHP + Python preferred)
• Experience improving production stability in live systems

This is equivalent to a Senior / Staff-level infrastructure engineer in a scaling SaaS company.

What You Do NOT Own

• Frontend feature development
• AI workflow logic
• Prompt design
• Client-specific custom builds
• Marketing or product experimentation

You own stability, scale, and operational integrity.

What Success Looks Like (First 90 Days)

By Day 30

• Architecture audit completed
• Clear isolation plan defined
• Immediate stability risks mitigated

By Day 60

• Worker isolation implemented
• Async job architecture stabilized
• Monitoring and alerts operational

By Day 90

• System stable under concurrent multi-client workloads
• Clear capacity planning roadmap
• Reduced infrastructure risk under growth

Compensation

• 100% remote
• India federal holidays + company shutdown weeks
• Full benefits
• High ownership
• Direct collaboration with founder and AI Systems Architect

Compensation reflects expected impact on platform stability and revenue scalability.

About Rapid Alpha

Rapid Alpha helps mid-sized companies align Vision, Focus, and Results (VFR) into repeatable execution systems.

EVOS is a structured execution platform designed to encode expert reasoning into scalable AI workflows.

Our 2026 objective:

Scale results delivery without scaling fragility.

This role is foundational to that objective.

How to Apply

Please send:

1. A brief description of one production system you helped scale, including what broke and how you fixed it.
2. A short architecture outline (max 500 words) explaining how you would isolate AI background jobs from a Laravel-based web application handling concurrent users.
3. Your CV and expected CTC.

Applications without this information will not be reviewed.

This is a senior ownership role. We value clarity of thinking over keyword density.

Platform-Scale LLM Infrastructure & Workflow Engineering

Why This Role Exists

Rapid Alpha is executing a 2026 transition:

From: Analyst-heavy delivery
To: Platform-leveraged execution

Our objective is clear:

Increase margin.
Increase throughput.
Increase reliability.
Without increasing analyst headcount.

EVOS is not designed to eliminate human expertise.
It is designed to encode expert reasoning into systems that are testable, auditable, and reusable — so humans can focus on interpretation, judgment, and decision-making.

You are not joining to experiment.
You are joining to scale our ability to deliver results for our clients.

This role directly impacts platform profitability.

The Business Context You Are Stepping Into

You are not starting from scratch.

You inherit:

• Revenue-generating SaaS platform (Laravel web layer)
• Python-based AI services (embeddings, indexing, classification)
• PostgreSQL + AWS infrastructure
• Active analyst workflows already using EVOS
• Real client demand requiring scalable execution

The foundation exists.

Your responsibility is to professionalize and scale it.

The System You Will Inherit

You will step into an existing, revenue-generating environment:

• Laravel-based SaaS application (web layer)
• Python services handling embeddings, indexing, and AI logic
• PostgreSQL database
• AWS infrastructure (EC2, RDS, S3)
• Multi-tenant client usage
• Analysts actively using EVOS to deliver strategic outputs

Current constraints:

• AI jobs can compete with application workloads
• Bulk document processing needs stronger async isolation
• Analyst workflows are partially systematized but not fully decomposed
• Scaling requires architectural discipline

You will not be starting from zero.

You will be professionalizing and scaling what already works.

What You Will Own (Non-Negotiable)

1. Encode Expert Reasoning Into Systems

You will work directly with analysts and the CEO to:

• Decompose decades of strategic experience into structured logic
• Convert reasoning patterns into multi-step AI workflows
• Design retrieval-first classification systems
• Implement structured outputs that support executive decision-making

Your work reduces cognitive repetition
And increases platform throughput.

2. Drive Platform Margin Through Architecture

Your impact is measurable in P&L terms.

You will:

• Reduce manual analyst time per engagement
• Increase client concurrency capacity
• Lower cost-per-analysis via intelligent retrieval design
• Eliminate fragile, ad hoc prompt behavior
• Reduce token waste and redundant embedding

Every workflow you systematize improves delivery leverage.

---

3. Build Production-Grade AI Systems

You will design systems that:

• Ingest and process thousands of documents
• Support multi-tenant concurrency
• Operate asynchronously
• Remain stable under load
• Produce structured, auditable outputs
• Maintain version history and reproducibility

You are accountable for correctness, stability, and repeatability.

4. Collaborate on Scalable Infrastructure

Working with our Platform Engineer, you will ensure:

• AI workloads are queue-driven and isolated
• Bulk embedding/classification does not impact web stability
• Rate limiting and retry logic are disciplined
• Observability supports diagnosis
• Scaling does not degrade reliability

You own the intelligence layer.
The system must hold under growth.

What You Must Be Able To Do

You should be able to explain clearly:

• How to classify 5,500+ documents across 100 dimensions without brute-force prompting.
• How to design retrieval systems that minimize API calls.
• How to prevent token explosion and runaway cost.
• How to evaluate classifier accuracy using measurable metrics.
• What fails first in LLM systems under scale.
• How to design workflows so outputs are auditable and version-controlled.

If you cannot articulate trade-offs in detail, this role is not a fit.

Required Experience

• 5–10+ years total engineering experience
• 2+ years building production LLM/NLP systems
• Strong Python (async programming, concurrency, APIs)
• Experience with vector databases (PGVector, Pinecone, Weaviate, etc.)
• Experience designing RAG pipelines
• Experience processing large document sets programmatically
• Familiarity with AWS environments
• Experience collaborating across product and engineering functions

Formal degrees are optional; production experience is not.

What You Do NOT Own

• Frontend feature development
• Client-specific customization work
• General DevOps administration
• One-off prompt experiments
• Marketing AI content creation

This role is about system architecture, not experimentation.

What Success Means in 2026 Terms

Success is not “interesting prompts.”

Success is:

• Measurable reduction in analyst manual load
• Stable concurrent client execution
• Workflows that can be saved, rerun, versioned, and audited
• Increased margin without increasing delivery headcount
• A system that scales execution logic across clients

You are building execution leverage.

What Success Looks Like (First 90 Days)

By Day 30

• Clear decomposition of analyst workflows
• Architecture for scalable ingestion and classification defined
• Prototype pipeline running in staging

By Day 60

• At least two workflows automated end-to-end
• Bulk document processing stable and asynchronous
• Structured outputs versioned and stored reliably

By Day 90

• Measurable reduction in manual analyst workload
• Stable AI execution under concurrent client usage
• Clear documentation of workflow logic and evaluation metrics

Compensation

• 100% remote
• India federal holidays + 3 company shutdown weeks
• Full benefits
• Direct collaboration with founder and senior strategists
• High ownership and high accountability

Compensation reflects senior-level expectations.

About Rapid Alpha

Rapid Alpha helps mid-sized companies align Vision, Focus, and Results (VFR) into repeatable execution systems.

EVOS is not a chatbot.
It is a structured execution platform that encodes expert reasoning into reusable AI workflows.

Our 2026 objective is simple:

Scale results delivery without scaling headcount.

This role is central to that mission.

Option 1 — High-Signal Screening CTA

How to Apply

Send:

1. A brief description of one production AI/LLM system you personally designed.
2. A short explanation (max 500 words) of how you would architect a system to process 5,000+ research documents and classify them across multiple dimensions.
3. Your CV and expected CTC.

Applications without this information will not be considered.

(AI Systems, Strategy, and Execution)

Why This Role Exists — and Why It Matters

Most prompt engineering today is:

• Ad hoc
• Fragile
• Non-reusable
• Disconnected from real business logic

This role exists to professionalize prompts into AI-executable systems.

You will not be writing one-off prompts or clever experiments.
You will design multi-step LLM workflows that are reliable, testable, reusable, and trusted.

As an AI Workflow Architect, you will turn ambiguous strategy and innovation problems into AI-native execution workflows that can be saved, rerun, versioned, and monetized inside EVOS.

If done well, your work will outlive individual engagements and become part of how companies actually operate.

---

What You’ll Own

AI Workflow Ownership (Non-Negotiable)

• Personally design and own multi-step LLM workflows
• Encode reasoning steps, constraints, and output structures explicitly
• Treat prompts as versioned system components, not ad-hoc text
• Be accountable for workflow correctness, repeatability, and failure modes
• Design workflows that can be trusted by non-technical users

---

Prompt Design & Engineering (LLM Reasoning Systems)

This is not content writing. Prompts are treated as executable logic.

You will design structured, multi-step prompt systems for:

• Market and competitor analysis
• Innovation opportunity discovery
• Behavioral and trend analysis
• Portfolio prioritization and diagnostics
• Intellectual Property (IP) and prior-art analysis

Your prompt systems must:

• Accept structured and unstructured inputs (datasets, URLs, documents)
• Produce consistent, interpretable outputs
• Handle edge cases and ambiguity explicitly
• Be reusable across contexts and users
• Be understandable by collaborators and end users

---

Workflow Architecture

You will combine prompts into end-to-end AI workflows that:

• Mirror how consultants and strategists actually work
• Define clear inputs, intermediate reasoning steps, and outputs
• Support repeatability, traceability, and comparison over time
• Can be saved, rerun, refined, and audited inside EVOS

Workflows must be explicit enough that:

• Results can be compared longitudinally
• Teams can collaborate using shared logic
• Changes can be versioned and explained

You are expected to implement workflows using modern LLM patterns (structured prompts, chaining, agentic reasoning, or equivalent).

---

Platform Integration

You will adapt workflows for use across:

• EVOS — our proprietary system for ingesting data and generating insights
• EVOS Marketplace — where reusable workflows and prompt systems are distributed
• ChatGPT
• Perplexity and similar research tools

You will ensure workflows are:

• Platform-appropriate
• Clearly documented
• Easy for users to onboard and reuse

---

Collaboration & Translation

You will work closely with:

• Strategists (to capture domain and decision logic)
• Technical writers (to ensure clarity and reuse)
• Developers (to ensure workflows are implementable)

A core part of the role is converting verbal, conceptual, or messy guidance into precise AI instructions.

---

Quality, Testing & Iteration

• Test workflows across diverse datasets and edge cases
• Identify failure modes (hallucinations, brittleness, ambiguity)
• Refine logic rather than “prompt hack”
• Maintain a versioned prompt/workflow library with documentation

---

What We’re Looking For

Core Capabilities

• Strong understanding of how LLMs reason — and how they fail
• Comfort designing systems, not one-off outputs
• Ability to balance determinism and flexibility intentionally
• Explicit, structured thinking style

---

Experience Requirements

• 3–7+ years total experience, with at least 1–2 years of hands-on work designing or implementing AI / LLM workflows or prompt systems
• Background in one or more of:
  • Prompt engineering or AI workflow design
  • Technical analysis or product operations involving LLMs
  • Strategy, consulting, or research with demonstrated AI execution
• Demonstrated ability to turn vague goals into executable logic

Formal degrees are not required if hands-on AI workflow experience is strong.

---

Thinking Style

• Systems-oriented, not hack-oriented
• Skeptical of “magic prompts”
• Comfortable breaking complex problems into explicit steps
• Cares about reliability, repeatability, and trust

---

Communication

• Clear, precise written English
• Ability to explain how a workflow works and why
• Comfortable collaborating asynchronously in a remote team

---

Strongly Preferred (Not Required)

• Experience with business strategy, innovation management, or consulting
• Familiarity with datasets, scraping, or document analysis
• Exposure to prompt marketplaces or workflow platforms
• Background in product management or operations

Relevant postgraduate education may include:

• Management / Strategy
• Economics or Applied Economics
• Data Science / Analytics
• Technology or Innovation Management

---

Evidence of Fit

Strong candidates can clearly describe:

• A multi-step AI or LLM workflow they personally designed
• How prompts were structured for consistency and reuse
• At least one failure mode they encountered and how they mitigated it

---

Who Should Apply

You should apply if:

• You enjoy designing systems that others rely on
• You care about correctness and usefulness more than cleverness
• You want your work to shape how businesses actually operate
• You are excited by the intersection of AI, strategy, and execution

You should not apply if:

• You prefer one-off prompt experiments
• Your experience is primarily in SEO, content writing, or annotation
• You focus on social-media “prompt tricks”
• You are uncomfortable testing, revising, and defending your logic
• You have not personally owned an AI or LLM workflow end-to-end

---

What We Offer

• 100% remote role (India-based team)
• Companywide holiday July 6th – July 12th AND December 22nd – January 1st
• India Federal Holidays + Personal Days
• Full Benefits + Competitive compensation aligned to experience
• Direct collaboration with founders and senior strategists
• Exposure to real-world strategy and innovation problems
• Opportunity to shape how an emerging AI platform is understood
• Clear path to leading a broader strategy and marketing function over time

---

About Rapid Alpha

Rapid Alpha helps mid-sized companies (50–500 employees) break through growth ceilings by aligning Vision, Focus, and Results (VFR) into a repeatable execution system.

We built EVOS, an AI-enabled platform that allows companies to:

• Analyze markets, competitors, and customer behavior
• Structure innovation portfolios
• Run repeatable, auditable AI workflows using trusted data and curated prompts

EVOS is not a chatbot.
It is a business execution system designed to turn insight into action.

We are now building the workflow and prompt layer that makes this possible at scale.

(Strategy, Innovation, AI Systems)

Why This Role Exists

This is a senior individual contributor role. It is not people management. Success is measured by clarity, depth, consistency, and intellectual authority — not volume or virality.

As the Research & Strategy Writer, you are the primary steward of Rapid Alpha’s voice. You will translate complex thinking — strategy, behavioral economics, innovation systems, and AI-enabled analytics — into clear, structured, belief-led narratives and frameworks.

Your work will:

• Shape how founders and executives understand growth constraints
• Define how Vision, Focus, and Results are understood in the market
• Serve as the intellectual backbone of Rapid Alpha’s brand
• Feed directly into EVOS workflows, prompts, diagnostics, and paid products

If done well, your writing will not merely inform.
It will reframe how leaders understand their companies and their decisions.

---

Your Core Ownership

Rapid Alpha’s point of view is a strategic asset.

You are the primary steward of that point of view. You will help articulate — clearly and consistently:

• Why companies hit predictable growth ceilings
• How customer behavior actually creates (or limits) opportunity
• Why most innovation portfolios fail to produce returns
• How Vision, Focus, and Results reconnect strategy to execution

If Rapid Alpha has a coherent, credible voice in the market, you helped create it.

---

What Success Looks Like (6–12 Months)

Within your first year:

• Executives can clearly articulate VFR after engaging with our content
• Our Substack becomes reference material, not “nice reading”
• Language and frameworks are consistent across:
  • Substack
  • LinkedIn (company and founder accounts)
  • Website
  • EVOS workflows
• Designers and prompt writers can easily translate your work into visuals and AI workflows
• People who resonate with our thinking actively seek out Rapid Alpha

---

What You’ll Do

Strategy Writing & Narrative Development

• Write long-form, belief-led essays for our Substack on:
  • Vision-driven growth
  • Innovation portfolio management
  • Behavioral change as a growth lever
  • Why companies plateau at specific size and revenue thresholds
• Adapt core ideas into:
  • LinkedIn long-form posts and document carousels
  • Website copy that explains complex offerings simply
  • Clear explanations of VFR and how it is applied in practice

This is writing as thinking, not content production.

---

Research & Synthesis

• Research patterns across:
  • Scientific Literature + Economics to understand core principles that underpin our approach to management consulting
  • Innovation success and failure
  • Customer adoption, behavior, and resistance
• Synthesize research into:
  • Thought pieces for Substack, LinkedIn, and our Newsletter
  • Diagnostic frameworks
  • Executive-level questions
  • Decision lenses leaders can apply immediately

---

Framework Development

• Turn messy, incomplete thinking into:
  • Clean models
  • Step-by-step logic
  • Visual-ready narratives
• Maintain consistency in how Rapid Alpha talks about:
  • Vision
  • Focus
  • Results
  • Innovation and execution

---

Collaboration & Editorial Stewardship

• Work closely with:
  • Founders and strategists (to capture raw insight and philosophy)
  • Prompt writers (to map thinking into AI workflows)
  • Designers (to translate ideas into visuals)
• Act as the final clarity check before ideas are published or productized
• Iterate quickly based on feedback, not ego

---

Signal, Not Growth Marketing

This is not a growth marketing role. However, you will:

• Track engagement and readership to understand resonance
• Identify which ideas land and which don’t
• Recommend what to double down on, refine, or stop

The goal is relevance with the right audience, not virality.

---

What We’re Looking For

Core Capabilities

• Exceptional written English (clarity > elegance > verbosity)
• Ability to explain complex ideas without oversimplifying them
• Strong analytical and structured thinking
• Comfort operating across strategy, innovation, technology, and business

Background & Experience

• 5–10+ years across one or more of:
  • Management consulting
  • Strategy, innovation, or policy research
  • Technical or analytical writing for senior audiences
• Experience writing for:
  • Founders
  • Executives
  • Product, strategy, or innovation teams

Mindset

• Systems thinker who sees patterns, not just topics
• Curious, skeptical, and evidence-driven
• Comfortable saying: “This doesn’t make sense yet”
• Interested in how companies actually behave, not how they describe themselves
• Comfortable working with ambiguity and accountability

Working Style

• Self-directed and disciplined in a remote environment
• Able to own an idea from rough conversation to finished output
• Can turn a 30–60 minute discussion into multiple high-quality pieces
• Comfortable with imperfect inputs and evolving ideas
• Open to revision and iteration

---

This Role Is Not a Fit If You Primarily Come From:

• SEO, content marketing, PR, or demand generation
• Market research or syndicated research firms
• Technical documentation or API writing
• Social media, brand, or communications roles

We are not hiring for content production, documentation, or research delivery.
This role exists to diagnose strategic problems and write original, belief-led arguments that shape how leaders think.

---

Nice to Have (Not Required)

• Background in consulting, economics, innovation management, or product strategy
• MBA or scientific / technical degree
• Familiarity with AI research tools (ChatGPT, Perplexity, research assistants)
• Experience working with designers and prompt engineers
• Burnt out on consulting delivery — but still deeply interested in strategy

---

What We Offer

• 100% remote role (India-based team)
• Companywide holiday July 6^th – July 12^th AND December 22^nd – January 1^st
• India Federal Holidays + Personal Days
• Full Benefits + Competitive compensation aligned to experience
• Direct collaboration with founders and senior strategists
• Exposure to real-world strategy and innovation problems
• Opportunity to shape how an emerging AI platform is understood
• Clear path to leading a broader strategy and marketing function over time

---

Who Should Apply

You should apply if:

• You want to ghostwrite a founder’s strategic perspective, not just polish it
• You are driven to understand and explore how business thrive
• You enjoy turning complex thinking into clear, reusable frameworks
• You want your writing to influence real decisions, not clicks

You should not apply if:

• You are looking for an SEO, social media, or content marketing role
• You prefer lightweight content over deep thinking
• You are uncomfortable challenging assumptions — including ours

---

Final Note

If you are intellectually curious, strong in writing, persuasive in argument, and either:

• burned out on traditional consulting, or
• looking to move from analysis into owning a point of view

This role can be a meaningful career inflection point.

About Rapid Alpha

Rapid Alpha helps mid-sized companies break through growth ceilings by aligning Vision, Focus, and Results (VFR) into a repeatable innovation and execution system.

Most companies stall not because they lack ideas, but because:

• Their vision no longer creates pull with customers
• Their innovation efforts drift away from strategic intent
• Their metrics disconnect activity from real outcomes

We built EVOS, an AI-enabled platform that allows companies to analyze markets, customer behavior, technology trends, and innovation portfolios using trusted data and reusable workflows — so strategy becomes executable, not theoretical.

Rapid Alpha operates across three layers:

• Product — reports, analytics, and advisory work
• Platform — EVOS, where workflows, diagnostics, and insights live
• Movement — how we shape how leaders think about growth, strategy, and execution

This role sits at the center of the Movement.

We are building a research and writing engine that teaches leaders how to think, how to diagnose, and how to act — not what slogans to repeat.

We are seeking a versatile QA Engineer skilled in both manual and automated testing to ensure the quality and reliability of our Laravel(PHP), PostgreSQL Python-based web applications. The ideal candidate should understand web development, APIs, server environments, and be capable of designing and maintaining automated test suites. In addition to strong QA expertise, the role requires the ability to interpret business requirements, evaluate user needs, and work with technical documents. The candidate should also be able to perform analytical tasks, including reviewing patent documents, financial data, and supporting management activities. An ideal candidate will have experience in management consulting.

Job Description

Key Responsibilities

• Develop, maintain, and execute test plans, test cases, and test scripts for both manual and automated testing.
• Perform testing across the application stack:
  • Frontend (HTML, CSS, JavaScript, jQuery) – functional/UI testing.
  • Backend (Python services, APIs, automation scripts, PHP) – API and workflow validation.
  • Database (PostgreSQL) – data validation and query testing.
• Implement and maintain automation frameworks (e.g., Selenium, PyTest, unittest, or similar).
• Design and execute API test cases using Postman, REST Assured, or Python-based tools.
• Ensure seamless integration between Laravel (web layer) and Python-based automation workflows.
• Identify, report, and track bugs using bug tracking tools (e.g., JIRA, GitHub Issues).
• Work closely with developers to reproduce and resolve issues.
• Conduct comprehensive quality analysis to ensure all software applications meet both functional and non-functional requirements.
• Continuously improve test coverage, automation efficiency, and QA processes.
• Utilize IP-related documents, financial data, and internal management files from Rapid Alpha to support analysis-driven testing and ensure alignment with business, legal, and strategic requirements.

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 2–5 years of experience in software QA (manual + automation).
• Hands-on experience with Laravel / PHP applications testing.
• Experience in testing REST APIs and backend services (preferably Python-based).
• Good knowledge of PostgreSQL for data validation.
• Proficiency with at least one automation framework (Selenium WebDriver, PyTest, or similar).
• Familiarity with CI/CD tools (Jenkins, GitHub Actions, GitLab CI).
• Strong debugging, analytical, and communication skills.
• Prior experience in an analyst role or management consulting is a strong advantage and will be considered a bonus.

Senior QA Engineer – Marketplace Quality, Compliance & AI-Ready Systems

Why This Role Is Different

Most QA roles focus on checking boxes. This role is about protecting trust at platform scale.

Rapid Alpha builds EVOS, a platform designed to make AI usable for high-stakes business decisions by grounding it in curated, traceable, and reusable data, prompts, and workflows. As EVOS evolves into a marketplace where third parties can publish prompts, datasets, and applications, quality failures are no longer just bugs — they are reputational, legal, and business risks.

We are looking for a dual-threat QA Engineer who can:

• Rigorously test software systems, and
• Act as a quality and compliance gatekeeper for a growing AI marketplace.

If you enjoy breaking systems, understanding why they broke, evaluating whether something should exist at all, and clearly explaining risk and impact — this role is built for you.

What You’ll Do

1. Full-Stack Quality Engineering

• Design, execute, and maintain manual and automated test suites across:
  • Frontend: HTML, CSS, JavaScript, jQuery (UI, usability, regression)
  • Backend: Python services, PHP/Laravel, APIs, automation workflows
  • Database: PostgreSQL validation, integrity checks, edge-case analysis
• Build and maintain automation using Selenium, PyTest, unittest, or similar frameworks.
• Execute API testing using Postman, REST Assured, or Python-based tools.
• Validate integration between Laravel web layers and Python automation services.

2. Marketplace Quality & Compliance Validation

• Review and validate third-party apps, prompts, datasets, and workflows submitted to the EVOS marketplace.
• Ensure marketplace submissions comply with:
  • Rapid Alpha quality standards
  • Data usage and licensing policies
  • Prompt and workflow safety guidelines
  • Traceability and repeatability requirements
• Identify policy violations, ambiguous edge cases, and quality risks before publication.
• Partner with product and legal stakeholders to continuously refine marketplace standards.

This is not automated scanning alone — it requires judgment, pattern recognition, and risk assessment.

3. AI-Aware & Systems-Level Testing

• Test and troubleshoot workflows where code, logic, prompts, or outputs are AI-assisted.
• Identify failure modes introduced by:
  • Prompt reuse and chaining
  • Dataset updates or substitutions
  • Workflow composition across multiple contributors
• Validate that outputs are repeatable, traceable, explainable, and defensible, not just “passing.”

4. Analytical & Consulting-Grade QA

• Use IP documents, financial data, and internal management artifacts as part of test scenarios.
• Validate that platform behavior aligns with business logic, legal constraints, and strategic intent.
• Think beyond “does it work?” to:
  • Is it defensible?
  • Is it explainable to a client?
  • Would a regulated or enterprise user trust this output?

5. Collaboration & Continuous Improvement

• Work closely with developers to reproduce issues and drive root-cause resolution.
• Partner with product, analytics, and platform teams to prevent defects before they ship.
• Continuously improve test coverage, automation efficiency, marketplace review processes, and QA standards.

What We’re Looking For

Core Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 3–6 years of experience in QA (manual + automation).
• Hands-on experience testing Laravel / PHP applications.
• Strong experience testing REST APIs and Python-based backend services.
• Solid PostgreSQL knowledge for data validation and query testing.
• Experience with CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI).
• Strong debugging skills and clear written and verbal communication.

What Makes You Stand Out

• Experience in management consulting, analyst roles, or research-heavy environments.
• Comfort reviewing technical, financial, legal, or IP-related documents.
• Ability to explain technical and data risks in business terms.
• High judgment, curiosity, skepticism, and a bias toward evidence.

Why Join Rapid Alpha

• You’ll help build a platform that makes AI trustworthy for real business decisions.
• You’ll work at the intersection of software quality, data integrity, AI, and strategy.
• You’ll collaborate with professional developers and high-caliber analysts.
• You’ll help define what quality and compliance mean in an AI marketplace.
• This role has a clear path into platform-level leadership and authority.

How You Will Grow at Rapid Alpha

Rapid Alpha is building EVOS for the long term — and we’re building our people the same way.

As EVOS grows from a powerful internal platform into a multi-sided marketplace for datasets, prompts, workflows, and applications, the importance of quality, compliance, and trust compounds. That creates a rare opportunity: you can build your entire career here, growing alongside the platform itself.

This is not a dead-end QA role. It is a path to becoming a recognized expert in AI-ready systems, marketplace governance, trusted data platforms, and high-stakes software validation.

Early Growth: Becoming a Core Platform & Marketplace Expert

In your first phase, you will:

• Master EVOS end-to-end: frontend, backend, APIs, data pipelines, and workflows
• Learn how prompts, datasets, and apps move through the marketplace lifecycle
• Develop expertise in testing AI-assisted systems and reusable components
• Work closely with senior developers and analysts to understand how software, data, and business decisions intersect

You’ll quickly move beyond execution into systems thinking and risk awareness.

Mid-Career Growth: From Tester to Trusted Gatekeeper

As you grow, your role shifts from finding issues to preventing platform-level failures.

You may:

• Define quality and compliance standards for marketplace submissions
• Become a primary reviewer for high-risk prompts, datasets, or workflows
• Mentor junior QA engineers
• Influence how developers and contributors design for trust from day one
• Translate technical behavior into business, legal, and reputational impact

At this stage, teams rely on you to answer a critical question:

“Can we safely allow this into the ecosystem?”

Long-Term Growth: Leadership or Deep Expertise

As EVOS becomes widely adopted, two respected paths open:

Leadership Path

• Lead QA Engineer / Quality Architect
• Head of Platform Quality or AI Systems Validation
• Ownership of trust, compliance, and release confidence across the marketplace

Technical Authority Path

• Principal QA Engineer / AI & Marketplace Validation Specialist
• Deep focus on AI failure modes, policy enforcement, dataset integrity, and repeatability
• Influence platform standards without managing large teams

Both paths keep you close to complex problems, high-caliber colleagues, and real impact.

What Makes This Career Different

• You grow with a platform that compounds in value over time
• You help define trust and quality in an AI marketplace
• You work with professional developers and top-tier analysts
• Your work directly shapes how companies make high-stakes decisions

If you have long-term career goals, strong judgment, and enjoy working with smart, driven people on problems that matter — Rapid Alpha is built for you to grow here.

Why This Role Is Different

Most QA roles are about finding bugs.

This role is about protecting trust.

Rapid Alpha builds EVOS, a platform designed to support high-stakes business decisions by grounding AI in curated, traceable, and reusable datasets, prompts, and workflows. As EVOS evolves into a marketplace where third parties can publish apps, prompts, and datasets, quality failures stop being “defects” and become reputational, legal, and business risks.

We are hiring a hybrid QA engineer who combines:

• Deep technical testing capability, and
• Consulting-grade judgment about whether something should exist at all.

If you enjoy breaking systems, understanding why they broke, evaluating risk in ambiguous situations, and clearly explaining impact to technical and business stakeholders—this role is built for you.

Who Thrives in This Role

This role is ideal for someone who:

• Thinks like a consultant but tests like an engineer
• Is comfortable saying: “This technically works, but it shouldn’t ship”
• Enjoys being the trusted gatekeeper when decisions carry real risk
• Prefers accountability and judgment over checklists

This is not a pure development role—but it requires deep technical literacy across the full stack to evaluate platform behavior, risk, and quality.

What You’ll Do

1. Full-Stack Quality Engineering

You will design, execute, and maintain quality validation across the EVOS platform:

• Frontend: HTML, CSS, JavaScript, jQuery
  • UI, usability, regression, edge cases
• Backend: Python services, PHP/Laravel APIs, automation workflows
• Database: PostgreSQL data validation, integrity checks, and edge-case analysis

You will:

• Build and maintain automation using Selenium, PyTest, unittest, or similar frameworks
• Execute API testing using Postman, REST Assured, or Python-based tools
• Validate integrations between Laravel web layers and Python automation services

2. Marketplace Quality & Compliance Gatekeeping

As EVOS grows into a marketplace, quality becomes governance.

You will:

• Review and validate third-party apps, prompts, datasets, and workflows submitted to EVOS
• Ensure submissions meet:
  • Rapid Alpha quality standards
  • Data usage and licensing policies
  • Prompt and workflow safety guidelines
  • Traceability and repeatability requirements
• Identify ambiguous edge cases and latent risks before publication
• Partner with product, legal, and platform stakeholders to evolve marketplace standards

This work requires judgment, pattern recognition, and risk assessment—not just automated scanning.

3. AI-Aware & Systems-Level Testing

You will test workflows where behavior emerges from:

• Code
• Prompts
• Datasets
• Workflow composition across multiple contributors

You will:

• Identify AI-specific failure modes (prompt reuse, chaining, dataset substitution)
• Validate that outputs are:
  • Repeatable
  • Traceable
  • Explainable
  • Defensible

Passing tests is not enough—outputs must be trustworthy.

4. Analytical & Consulting-Grade QA

You will routinely test EVOS using:

• IP documents
• Financial data
• Internal management artifacts

You will evaluate not just “does it work?” but:

• Is it defensible in front of a client?
• Is it explainable to a regulated or enterprise user?
• Does platform behavior align with business logic and strategic intent?

5. Collaboration & Continuous Improvement

• Partner closely with developers to reproduce issues and drive root-cause resolution
• Work with product and analytics teams to prevent defects before release
• Continuously improve:
  • Test coverage
  • Automation efficiency
  • Marketplace review processes
  • Platform quality standards

What We’re Looking For

Core Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related technical field
• 4–8 years experience in QA, platform engineering, or systems validation
• Hands-on experience testing Laravel / PHP applications
• Strong experience testing Python-based services and REST APIs
• Solid PostgreSQL knowledge for data validation and query testing
• Experience working with CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI)
• Strong debugging skills and clear written and verbal communication

What Makes You Stand Out

• Experience in consulting-style, analyst-driven, or decision-critical environments
• Comfort reviewing technical, financial, legal, or IP-related materials
• Ability to translate technical behavior into business, legal, and reputational risk
• High judgment, skepticism, curiosity, and a bias toward evidence

Formal consulting experience is a plus, but consulting-grade thinking is required.

Why Join Rapid Alpha

• Build a platform designed to make AI trustworthy for real business decisions
• Work at the intersection of software quality, data integrity, AI, and strategy
• Collaborate with professional developers and high-caliber analysts
• Help define what quality and trust mean in an AI marketplace

How You Will Grow at Rapid Alpha

Early Phase: Platform & Marketplace Mastery

• Master EVOS end-to-end (frontend, backend, APIs, workflows)
• Develop deep expertise in AI-assisted systems and reusable components
• Build credibility as a technical and judgment-based reviewer

Mid Phase: Trusted Gatekeeper

• Define quality and compliance standards
• Review high-risk marketplace submissions
• Influence how contributors design for trust from day one

Long-Term Paths

Leadership Path

• Lead QA Engineer / Platform Quality Architect
• Ownership of trust, compliance, and release confidence

Deep Expertise Path

• Principal QA Engineer / AI & Marketplace Validation Specialist
• Authority on AI failure modes, policy enforcement, and repeatability

What Makes This Career Different

• You grow with a platform whose value compounds over time
• You help define trust in an AI marketplace
• Your work directly influences high-stakes decisions
• You are respected for judgment, not just execution

If you enjoy complex systems, accountability, and meaningful impact—Rapid Alpha is built for you.

Shape the Future of AI-Powered Innovation at Rapid Alpha

About Rapid Alpha

At Rapid Alpha, we don’t just analyze market trends—we architect competitive advantage. We combine AI-driven business intelligence, intellectual property expertise, and deep industry research to help companies make bold, strategic decisions that drive innovation. We foster a high-trust, high-autonomy culture. Our team is a mix of IP strategists, market intelligence specialists, and AI engineers, all working collaboratively to push the boundaries of AI-powered research and competitive intelligence. We believe in structured decision-making but encourage bold, creative problem-solving.

As a Business Intelligence & Intellectual Property Analyst, your work will not just inform strategy—it will shape billion-dollar opportunities, protect breakthrough technologies, and uncover hidden market advantages before competitors do. If you're energized by data-driven insights, strategic impact, and the power of AI, this role will put you at the forefront of innovation intelligence.

Why This Role Matters

Your research won’t just sit in a report—it will shape billion-dollar innovation strategies, protect breakthrough technologies, and help businesses bring transformative ideas to market faster. At Rapid Alpha, you’re not just analyzing trends—you’re actively influencing the future of innovation.

This is a high-impact role that offers both autonomy and influence. You’ll be at the center of business-critical research, helping C-suite executives, investors, and R&D leaders make strategic decisions that define their company’s innovation roadmap.

🔹 Your insights will directly influence business decisions, guiding our clients through complex innovation landscapes.
🔹 You will de-risk investments and accelerate market entry by identifying high-value opportunities and potential obstacles before they emerge.
🔹 You'll help develop AI-powered tools that turn unstructured data into actionable intelligence, enhancing business strategy at scale.
🔹 This is a role for high-autonomy, high-impact thinkers—those who thrive in solving big, strategic challenges.

What You’ll Be Doing

1. Business Intelligence & Competitive Analysis

• Conduct deep-dive research on emerging technologies, patents, market trends, and competitor strategies.
• Build AI-enhanced competitive intelligence reports to uncover investment risks, market gaps, and IP vulnerabilities.
• Use multi-source data analysis to track industry shifts and forecast disruptive innovation trends.

2. AI-Powered Insights & Strategic Decision-Making

• Work with AI-driven tools to analyze IP landscapes, regulatory trends, and commercialization pathways.
• Identify product-market fit indicators and help clients validate and scale their innovations.
• Leverage AI models and automation to speed up research, improve accuracy, and optimize decision-making.

3. Intellectual Property & Innovation Management

• Assess patentability, Freedom-to-Operate (FTO), and licensing opportunities for emerging technologies.
• Build IP-backed business cases that help companies leverage patents as a competitive moat.
• Provide strategic guidance on IP portfolio development and commercialization strategies.

4. High-Impact Reporting & Executive Collaboration

• Deliver CEO- and investor-ready insights, ensuring that research translates into clear, actionable business strategies.
• Work closely with executives, R&D leaders, and legal teams to align business, market, and IP strategies.
• Create visual dashboards and intelligence frameworks that make complex data digestible for decision-makers.

What Sets This Role Apart?

💡 Autonomy & Influence: You won’t be a cog in a machine—you’ll be leading high-stakes research that directly impacts client success.
💡 AI-Driven Approach: You’ll combine AI automation with human intelligence to deliver cutting-edge insights faster and better.
💡 Cross-Industry Exposure: Work across deep tech, IP strategy, and emerging industries, from quantum computing to digital therapeutics.
💡 Innovation at Scale: Your work will help early-stage innovators, market leaders, and investors navigate high-growth opportunities.

Who Should Apply?

✅ You thrive in a fast-paced, highly collaborative environment where your work spans multiple industries. You seamlessly shift between intellectual property analysis, market research, and competitive intelligence, adapting quickly to new challenges and uncovering strategic opportunities in real time.
✅ You have experience in IP analytics, market intelligence, or strategic business research.
✅ You’re excited about leveraging AI tools to scale research efficiency—but you don’t need to be an AI engineer.
✅ You have a strong analytical mindset, with experience in patent research, financial analysis, or business strategy.

Why Join Rapid Alpha?

AI-Driven Research & Intelligence Development

🚀 Industry Impact: Work on high-profile projects that influence multi-million-dollar decisions.
🤖 AI + Human Intelligence: Use cutting-edge AI tools to amplify research and automate workflows.
🌎 Remote-First, Global Reach: Collaborate with experts worldwide in a high-trust, high-autonomy culture.
💼 Career Growth: Build your expertise in business intelligence, IP strategy, and innovation management.

How to Apply

📩 Submit your LinkedIn profile and a brief statement on why you're excited about this role.
📊 If available, share an example of a research project where you identified a market or IP opportunity.

We’ll reach out within 72 hours if your skills align.

Shape the Future of AI-Driven Innovation Intelligence at Rapid Alpha

About Rapid Alpha

At Rapid Alpha, we go beyond traditional consulting—we build AI-driven solutions that help businesses identify, validate, and scale groundbreaking innovations. As a leading innovation management advisory, we specialize in:

• AI-powered research automation – Transforming how businesses analyze IP, market opportunities, and R&D portfolios.
• Data-driven commercialization insights – Optimizing market entry strategies using Multi-Index Analysis (MIA), TRL, and competitive intelligence frameworks.
• AI-integrated decision-making – Automating prior art searches, investment validation, and technology adoption predictions within our proprietary EVOS platform.

To scale these efforts, we are hiring an AI Agent Developer & Research Analyst to design, build, and integrate AI-powered research workflows that streamline commercialization strategy, IP analysis, and competitive intelligence.

Position Overview

We are looking for a high-impact AI Engineer & Research Analyst to develop AI Agents that automate and enhance innovation intelligence. This is not a standard NLP/LLM role—your work will directly impact billion-dollar business decisions in market intelligence, IP strategy, and venture capital.

Your Mission:

• Build AI-powered research agents that analyze structured & unstructured data (patents, financial reports, regulatory filings, market trends).
• Optimize market and technology validation through RAG, fine-tuned LLMs, and vector-based knowledge retrieval.
• Develop AI-driven decision models for assessing innovation readiness and investment potential.
• Seamlessly integrate AI into EVOS, enabling clients to track IP risk, competitive moves, and technology adoption in real time.

If you're excited about AI-powered automation, data-driven research, and making an impact in venture capital & innovation management, we want to hear from you.

Key Responsibilities

AI-Driven Knowledge Integration

• Develop AI-powered research workflows to analyze patents, market trends, and commercialization opportunities.
• Build industry-specific knowledge bases using tools like Pinecone, Weaviate, or Milvus.
• Structure multi-source datasets (e.g., SEC filings, patent databases, competitive intelligence) into vectorized retrieval systems.
• Implement Multi-Index Analysis (MIA) scoring for assessing technology readiness, market adoption, and IP strength.

AI Agent & LLM Development

• Design and deploy AI Agents that extract, categorize, and summarize research findings in IP, market analysis, and innovation strategy.
• Fine-tune LLMs (Hugging Face, OpenAI, LangChain) for domain-specific applications in innovation intelligence & commercialization strategy.
• Implement RAG-based knowledge retrieval to optimize IP research and investment intelligence workflows.

Automation & Prompt Engineering

• Develop custom prompt architectures optimized for technology validation, patent assessments, and market forecasting.
• Build API-based automation tools that integrate AI-driven insights into EVOS and client dashboards.
• Optimize AI models for accuracy, contextual relevance, and decision-making.

System Integration & Deployment

• Develop APIs and middleware to connect AI-driven insights with enterprise innovation workflows.
• Ensure scalability and efficiency of AI-powered research pipelines.
• Integrate vector-based retrieval systems into commercial research automation.

Continuous Learning & Compliance

• Monitor AI model performance and refine training datasets based on real-world results.
• Stay ahead of AI, IP, and regulatory trends to enhance AI-driven research capabilities.
• Ensure compliance with data privacy, ethical AI practices, and legal considerations in AI-driven innovation research.

What Success Looks Like in This Role (First 6 Months)

• Built & deployed an AI Agent that automates prior art searches, IP risk analysis, and market intelligence workflows.
• Developed a RAG-based retrieval system that dynamically extracts the most relevant market & investment insights.
• Fine-tuned an LLM to process structured/unstructured data for patent, investment, and commercialization research.
• Integrated AI outputs into EVOS, allowing clients to instantly access strategic innovation intelligence.

Who Should Apply?

You should apply if you:

• Are excited about applying AI to innovation intelligence, IP research, and venture capital analysis.
• Have experience in LLM fine-tuning, RAG, and AI-driven research automation.
• Want to build AI-powered decision-support tools—NOT just chatbots or generic NLP models.
• Thrive in high-impact AI applications that influence billion-dollar market opportunities.

Preferred Backgrounds

Ideal candidates may have backgrounds in:

• AI/ML roles in IP analytics, venture capital intelligence, or corporate strategy.
• Applied AI research in market intelligence, technology forecasting, or knowledge management.
• Data scientists & AI engineers specializing in RAG, vector search, or domain-specific LLMs.
• AI professionals with experience in financial modeling, patent research, or investment analysis.

Required Qualifications

Technical Skills

• Python, LangChain, Hugging Face, OpenAI APIs for LLM development.
• Experience in RAG (Retrieval-Augmented Generation) and vector databases (Pinecone, Weaviate, Milvus).
• AI-driven market intelligence, investment validation, and competitive analysis experience.
• Proficiency in IP research automation, including patent landscape analysis & prior art searching.
• Cloud-based AI deployment experience (AWS, Azure, Google Cloud).
• SQL & NoSQL expertise for structured/unstructured data processing.

Soft Skills

• Strong problem-solving skills—translating complex data into real-world AI solutions.
• Ability to collaborate with domain experts in innovation management, IP, and commercialization strategy.
• Excellent communication & documentation skills—explaining AI findings in a business-friendly manner.

Experience

• 5+ years of AI/ML experience, with a focus on LLM agent development and RAG-based applications.
• Hands-on experience integrating AI research automation into enterprise workflows.
• Track record of deploying AI-driven solutions in business intelligence, IP, or venture capital contexts.

Why Join Rapid Alpha?

• Own the AI Strategy – Define how AI transforms innovation intelligence.
• Work on Cutting-Edge AI – Apply RAG, fine-tuned LLMs, and AI-driven knowledge retrieval.
• See Immediate Impact – Your AI models will power billion-dollar investment decisions.
• Interdisciplinary Collaboration – Work alongside IP strategists, VCs, and innovation executives.
• Remote-First, Global Reach – Influence top-tier clients worldwide.

How to Apply

• Submit your LinkedIn profile URL and GitHub profile.
• (Optional) Share a past AI project where you built an LLM-powered research or automation tool.
• We’ll reach out within 72 hours if your skills align.