Agentic AI

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:

• Strong 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: snigdha@beanhr.com