Staff Software Engineer, Enterprise AI

Responsibilities

• Build and maintain orchestrator and specialist-agent architectures with retrieval, tool use, structured outputs, and multi-step reasoning.
• Design retrieval and grounding for RAG and semantic search, including embeddings, reranking, evidence citations, and hallucination reduction.
• Integrate AI agents with internal and external tools and APIs to perform actions.
• Build APIs, user interfaces, and full-stack experiences for AI-powered search, chat, and workflows.
• Instrument AI features for quality, safety, reliability, latency, token usage, and cost, and use results to guide iteration.
• Iterate on prompts, model choices, fallback behavior, and evaluation approaches for nondeterministic systems.
• Apply engineering practices including automated testing, code review, CI/CD, monitoring, security, performance work, and on-call ownership.

Requirements

• Bachelor’s degree in Computer Engineering, Computer Science, Information Systems, or a related field, or equivalent professional experience delivering enterprise technology solutions.
• At least 8 years of professional full-stack software development experience.
• End-to-end experience building RAG or agentic systems involving retrieval, tool calling, structured outputs, multi-step reasoning, and verification or evaluation loops.
• Experience designing evaluations using curated datasets, automated metrics, human review, and production feedback.
• Experience establishing AI observability for quality, safety, reliability, latency, token usage, and cost.
• Working knowledge of AI security and responsible-use risks, including prompt injection, tool abuse, data leakage, access control, and model limitations.
• Deep hands-on programming experience with Node, TypeScript, and React.
• Experience with modern frameworks such as NextJS or NestJS.
• Experience building RESTful and GraphQL APIs and working with relational and non-relational databases.
• Comfort with AWS, Docker, Kubernetes, and deployment infrastructure.
• Preferred experience with retrieval-augmented generation, semantic search, embeddings, reranking, grounding, citations, and evaluation.
• Preferred experience with agent platforms such as LangGraph, AutoGen, or CrewAI, vector databases, and multi-agent orchestration.
• Working familiarity with Python, Databricks, Unity Catalog, and lakehouse or data-catalog concepts.
• Experience shipping an internal AI product from scratch in a small, fast-moving team.

Benefits

• Open paid time off policy and flexible work schedules.
• Medical, dental, and life insurance.
• Parental leave for the employee, spouse or domestic partner, and children.
• 401k with company match.