Job Description
Required Experience
- Strong hands-on experience building production-grade LLM, agentic AI, ML, automation, or platform systems.
- Deep understanding of agent architecture, orchestration frameworks, tool calling, memory design, RAG, model routing, and multi-agent workflows.
- Experience with frontier models, open-source models or both, including evaluation, benchmarking, and model comparison.
- Strong software engineering background, including Python, APIs, backend services, cloud platforms, containers, CI/CD, authentication, logging, and production observability.
- Experience integrating AI systems with enterprise APIs, identity systems, data platforms, workflow engines, ticketing systems, code repositories and operational tools.
- Prior experience operating or supporting production systems, including monitoring, alerting, incident response, rollback, release management, access control, cost management, and post-incident review. ...