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.