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. Work with product and backend teams to refine requirements and integration contracts. 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.
Opportunity for a AI Language Solutions Engineer to contribute to a growing technology, analytics, enterprise applications, or sales function.
Client Company