Agentic AI Engineer
persistent
Job Description
- Build scalable and reusable AI services using Python and FastAPI/Flask.
- Design, build, and deploy GenAI applications using leading LLMs such as OpenAI, Azure OpenAI, Claude, Gemini, and Llama.
- Develop and implement Agentic AI workflows using LangChain Agents and LangGraph, with exposure to CrewAI or AutoGen.
- Design and implement RAG pipelines, embedding strategies, and semantic retrieval solutions.
- Translate business and functional requirements into working GenAI and agent‑based solutions.
- Apply effective prompt‑engineering techniques, context management, and hallucination‑reduction strategies.
- Integrate LLMs and agent systems with enterprise APIs, internal systems, and automation workflows.
- Work with vector databases (FAISS, Pinecone, Chroma, Weaviate) for semantic search and retrieval.
- Evaluate and optimize GenAI solutions for accuracy, performance, and cost efficiency.