Senior Machine Learning Engineer III
Core
Design, build, and optimize Retrieval-Augmented Generation (RAG) applications to deliver source-grounded, accurate AI-powered legal and professional information.
Role type
Senior Machine Learning Engineer (RAG & Generative AI)
Builds
Scalable, responsible Generative AI solutions for legal and professional information products
Domain
Legal technology / Generative AI / Information Retrieval
Deliverable
production ML models
Required skills
RAG application design, document ingestion and chunking, embedding generation, retrieval and reranking, vector database operations, hybrid search strategies, evaluation framework design, hallucination mitigation
Preferred skills
AI agent and multi-step workflow development, agentic frameworks (Google ADK, LangChain, LiteLLM, MCP), LLM observability, regulated domain experience
Technologies
Qdrant, Pinecone, pgvector, LanceDB, OpenSearch vector search, Google ADK, LangChain, LiteLLM, MCP
Responsibilities
Design and operate vector search solutions; validate retrieval quality and citation accuracy; implement hybrid search combining keyword, metadata, and semantic search; monitor retrieval performance, latency, and cost; collaborate to reduce hallucinations and improve response quality
Seniority
Senior, hands-on IC