Agentic AI Engineer
persistent
Job Description
- Build and deploy GenAI applications using LLMs (OpenAI, Azure OpenAI, Claude, Gemini, Llama, etc.).
- Develop Agentic AI workflows using frameworks such as CrewAI, AutoGen, LangGraph, or LangChain Agents.
- Design and implement RAG pipelines, vector search solutions, and embedding?based retrieval systems.
- Build scalable AI services using Python, FastAPI/Flask, and cloud platforms (Azure/AWS/GCP).
Collaborate with cross?functional teams to define use cases and convert them into production?ready GenAI solutions. - Implement hallucination reduction, prompt?engineering strategies, and model evaluation methods.
- Integrate LLMs with enterprise applications, APIs, and automation workflows.
Work with vector databases (FAISS, Pinecone, Chroma, Weaviate) for semantic search.
Monitor, evaluate, and optimize GenAI models for accuracy, performance, and cost.