Senior AI Engineer
Core
Architecting and building core agent infrastructure for AI agents that plan, reason, and execute tasks across enterprise environments.
Role type
Senior IC AI Engineer (Agent Infrastructure)
Builds
Multi-step planning, orchestration, and tool routing systems for AI agents
Domain
Enterprise AI, Agent Architecture, Distributed Systems
Deliverable
production ML models | infrastructure
Required skills
TypeScript, distributed systems, API design, asynchronous workflows, service-oriented architecture, scalability, reliability, observability, LLM API integration, agent platform design, sandboxed code execution, Kubernetes, GCP, Postgres, Redis, vector databases, prompt engineering, RAG, memory management, multi-step orchestration, human-in-the-loop systems, evaluation frameworks, Langfuse, LangSmith, Modal, access control models
Preferred skills
Experience building LLM-powered applications, machine learning system design, open source contributions
Technologies
TypeScript, Kubernetes, GCP, Postgres, Redis, Langfuse, LangSmith, Modal
Responsibilities
Architect multi-step planning, orchestration, and tool routing for agents; Implement code generation agents and sandboxed code execution; Engineer memory, state, and context packing/grounding strategies; Balance latency, quality, and cost controls for agent execution; Develop safe fallbacks, graceful degradation and robust error handling; Collaborate with platform and search teams to deliver reusable agent infrastructure
Seniority
Senior, hands-on IC
