Agentic AI Engineer

Job Summary: We are looking for an Agentic AI Engineer with 3–5 years of experience in designing and developing AI-powered applications using Large Language Models (LLMs) and agentic AI frameworks. The ideal candidate should have hands-on experience building autonomous AI agents, integrating APIs, implementing RAG solutions, and developing scalable AI applications.

Key Responsibilities:

• Design and develop Agentic AI applications using LLMs.
• Build AI agents using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar.
• Develop Retrieval-Augmented Generation (RAG) pipelines with vector databases.
• Integrate AI agents with enterprise APIs, databases, and third-party services.
• Create prompt engineering strategies and optimize AI model performance.
• Develop backend services using Python and REST APIs.
• Collaborate with cross-functional teams to deliver AI solutions.
• Troubleshoot, optimize, and maintain AI applications.

Required Skills:

• 3–5 years of software development experience.
• Strong Python programming skills.
• Experience with LLMs (OpenAI, Azure OpenAI, Anthropic, Gemini, or Llama).
• Hands-on experience with LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks.
• Knowledge of RAG, embeddings, vector databases (Pinecone, ChromaDB, FAISS, Weaviate).
• Experience with FastAPI or Flask.
• Familiarity with REST APIs and microservices.
• Experience with Git and CI/CD.
• Knowledge of cloud platforms (AWS, Azure, or Google Cloud Platform).