Hi ,

Job Title: Agentic AI Engineer

Location: Hybrid (TCS Americas)
Experience: 48+ Years

Job Description:

We are seeking an Agentic AI Engineer to design, develop, and deploy intelligent AI agents powered by Large Language Models (LLMs). The ideal candidate will have hands-on experience building RAG-based applications, multi-agent workflows, and integrating AI solutions with enterprise systems using Python, LangChain (or similar frameworks), and cloud platforms.

Key Responsibilities:

- Develop AI agents and LLM-powered applications using Python.
- Build Retrieval-Augmented Generation (RAG) pipelines with vector databases.
- Design and optimize prompts for accurate and reliable AI responses.
- Integrate AI agents with REST APIs, databases, and external tools.
- Deploy AI solutions using Docker and cloud platforms (AWS/Azure/GCP).
- Collaborate with cross-functional teams to deliver scalable, production-ready AI solutions.
- Implement testing, debugging,



monitoring, and responsible AI practices.

Required Skills:

- Robust Python programming and software engineering fundamentals.
- Experience with LLMs (OpenAI/Azure OpenAI/Gemini/Claude), Prompt Engineering, and RAG.
- Hands-on experience with LangChain, LangGraph, LlamaIndex, or similar agent frameworks.
- Knowledge of vector databases (Pinecone, FAISS, Weaviate, ChromaDB, etc.).
- Experience with FastAPI/Flask, REST APIs, Docker, Git, and cloud platforms (AWS, Azure, or GCP).
- Familiarity with SQL/NoSQL databases, CI/CD, and AI application deployment.

Preferred Skills:

- Experience with multi-agent systems, Kafka/RabbitMQ/SQS, PyTest, MLOps, monitoring tools, and security best practices.

Interested candidates can share cv at: [email protected]

📌 Agentic AI (Gurugram)
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