AI Engineer
Core
Design, implement, and maintain AI agents and RAG pipelines to codify client analysis methodologies and decision-making criteria into systematic, auditable workflows.
Role type
Senior AI Engineer (LLM Agents & RAG)
Builds
Production AI agents, RAG systems, and backend APIs for financial analysis and decision support.
Domain
FinTech / AI Engineering / LLMs
Deliverable
production ML models
Required skills
Python, LLMs (Claude, OpenAI, Gemini), Prompt Engineering, RAG, Vector Databases, Django/FastAPI, AWS, Docker, System Architecture, CI/CD, Unit Testing, Technical Documentation
Preferred skills
Agent Evaluation (evals), Observability, Financial Domain Knowledge
Technologies
LangChain, LangGraph, LlamaIndex, CrewAI, Pinecone, Weaviate, Qdrant, pgvector, Bedrock, Lambda, ECS, Fargate, Git, Notion, G-Suite
Responsibilities
Design and implement AI agents using frameworks like LangChain or LangGraph; Develop and optimize RAG pipelines including data ingestion and semantic retrieval; Integrate LLMs and manage token costs/latency; Implement security guardrails against prompt injection and data leaks; Deploy and maintain AI solutions on AWS; Create automated tests and technical documentation; Conduct client meetings to translate business rules into technical solutions.
Seniority
Senior, hands-on IC