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.