Staff AI Engineer

📋 Description

• Write and ship production AI code daily — active contributor, not just an architect.
• Architect agentic AI workflows using LangGraph for enterprise scale reliability.
• Own AI observability via LangFuse: tracing, prompt versioning, evaluation, benchmarking across model interactions.
• Set AI engineering standards for agent design patterns, RAG, prompt management, context optimization, and tool-calling strategies.
• Partner with product and platform teams to deliver AI architectures that meet enterprise SLA, security, and compliance requirements.
• Evaluate and adopt emerging tooling— benchmarking LLM providers, orchestration frameworks, and agentic stack improvements.

🎯 Requirements

• 8+ years of software engineering with 3+ years in production AI/ML or LLM systems.
• Hands-on LangGraph expertise — stateful, cyclic, multi-agent workflows at enterprise scale.
• Hands-on LangFuse expertise - tracing, evaluation, prompt management, and dataset-driven testing.
• Proficiency with agent harness frameworks such as LangChain or similar (e.g. LlamaIndex, CrewAI) — composing chains, tools, memory, and retrieval pipelines.
• Deep Python proficiency and strong engineering fundamentals (testing, CI/CD, architecture).
• Cloud AI deployment experience (AWS, Azure, or GCP) including containerization and inference cost management.
• RAG architecture knowledge— vector databases, embedding models, and retrieval strategies.
• B.S. in Computer Science or equivalent practical experience.

🎁 Benefits

• Competitive healthcare coverage
• Wellness programs
• Take it when you need it time off
• Parental leave, recognition programs, and more