Skills highlighted in blue are preferred key skills
Evaluate responses using test scenarios, quality metrics and failure cases. Tune latency, token consumption, context handling and inference reliability. Document experiments, safeguards and deployment decisions. Bring strong python skills and hands-on llm application experience. Build production-oriented language-model features for practical business workflows. Design prompt chains, retrieval flows, agents and structured-output pipelines. Connect ai services with apis, databases and enterprise applications.
Opportunity for a GenAI Product Engineer to contribute to a growing technology, analytics, enterprise applications, or sales function.
Client Company