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

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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