Senior AI Engineer - Greenfield GenAI & Agentic Systems
Boston (Hybrid) - 1 day per week
Help build the next generation of AI inside one of the world’s leading quantitative investment firms.
This is a greenfield build - you’ll be the engineer designing how AI is done here. You’ll work with a world-class technical team to turn generative and agentic AI from concept into production systems that power research, trading, and operations.
What You’ll Do
- Design and deploy LLM-driven and agentic AI systems that automate data analysis, insights, and workflows.
- Build the underlying RAG pipelines, vector databases, and APIs connecting internal data to AI models.
- Integrate AI safely and at scale - balancing innovation with reliability and governance.
- Collaborate with product, data, and compliance teams to identify and implement the highest-impact AI use cases.
- Stay ahead of the curve - evaluate new GenAI and orchestration frameworks (LangGraph, AutoGen, LlamaIndex, etc.) and shape the roadmap.
What’s In It For You
- Greenfield Ownership – Define architecture, choose tooling, and set standards from the ground up.
- Cutting-Edge Tech – Work hands-on with LLMs, RAG pipelines, and emerging agentic frameworks inside a financial environment where data actually matters.
- Real-World Impact – Your systems will directly influence decision-making and automation across a multi-billion-dollar business.
- Elite Peers – Join a small, highly technical team where deep engineering meets applied finance.
What You Bring
- Strong background in Python and software engineering (APIs, microservices, distributed systems).
- Hands-on experience with LLMs / Generative AI, embeddings, or RAG implementations.
- Familiarity with vector databases (Pinecone, FAISS, Qdrant, Weaviate).
- Cloud and DevOps skills — AWS, Docker, Kubernetes, Terraform.
- Curiosity, pragmatism, and the ability to move fast in a high-trust, high-impact environment.
If you're interested, please apply now!