Senior AI Engineer (Agents)
Core
Design, build, and run LLM-powered agents and AI features in production, owning the full lifecycle from scoping to deployment and improvement.
Role type
Senior IC AI Engineer (Agents)
Builds
LLM agents, agentic workflows, MCP servers, and tool layers for company data access
Domain
AI/LLM engineering, agentic systems, cloud infrastructure
Deliverable
production ML models
Required skills
LLM agent frameworks (Claude Agent SDK, LangGraph, Pydantic AI), MCP and RAG implementation, multi-provider LLM management (Anthropic, OpenAI, Google, AWS Bedrock), Python, TypeScript/Node.js, SQL, AWS (Docker, CI/CD, observability), agentic coding tools (Claude Code)
Preferred skills
LLM observability/gateway tooling (Langfuse, LiteLLM), B2B data enrichment, FinOps, event-driven workflows (Kafka, Temporal)
Technologies
Python, TypeScript, Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS, Anthropic, OpenAI, Google, AWS Bedrock, MCP, LangGraph, Pydantic AI, Claude Code
Responsibilities
Design and build LLM agents with tool use, structured outputs, and multi-step orchestration; Build and maintain MCP servers for governed data access; Own quality, cost, and telemetry for agents; Ship services through CI/CD pipelines; Contribute to shared platform pieces like agent templates and LLM gateways; Work with stakeholders to scope and validate use cases; Use AI coding tools daily to drive development and verify outputs
Seniority
Senior, hands-on IC