About the role
Build production agentic AI infrastructure, LLM orchestration, MCP tool integrations, backend APIs, tracing, evaluation harnesses, runtime guardrails, access controls, observability and error recovery. Diagnose hallucinations, loops and production failures, and develop secure distributed services.
Requirements
Strong software engineering and computer science foundations; experience with REST or gRPC, databases, queues, Git, automated tests and CI/CD; understanding of LLM function calling, context windows and nondeterminism; debugging and technical documentation. Seniority flexible; cloud, Docker/Kubernetes, RAG and MCP desirable.