Sr Software Engineer - AI

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!