AI Engineer

" Build LLM-powered applications with strong prompt engineering skills (few-shot, chain-of-thought, structured outputs).
" Develop agentic applications tool-calling, multi-step workflows, multi-agent orchestration (LangChain, AutoGen, etc.).
" Integrate LLM APIs and RAG pipelines (vector DBs, embeddings) into production systems.
" Evaluate and iterate on prompts/workflows for quality, cost, and latency.
" Translate business use cases into scalable AI solutions, staying current with LLM tooling.