AI Engineer | GenAI, LLM & Agentic AI | Multiple Locations

Key skills

What you’ll do

• Design and develop production-ready Generative AI and LLM applications, including RAG pipelines and AI agent workflows. Build scalable backend services and integrate enterprise systems using Python and cloud infrastructure.

What they’re looking for

• Requires 1 to 10 years of experience with a strong mastery of Python, LLM frameworks, and vector databases. Candidates must have a technical degree in Computer Science, IT, or AI.

Job description

About the Opportunity We are hiring AI Engineers across multiple experience levels to build and deploy production-grade Generative AI, LLM, RAG, and Agentic AI solutions. This is a hands-on engineering role for professionals who can work across Python, APIs, LLM frameworks, vector databases, cloud platforms, and AI application development. Role Details Experience: 1–10 Years Locations: Bengaluru, Hyderabad, Chennai, Pune, Mumbai, Gurugram, Noida & Delhi Work Mode: Work From Office Compensation: ₹12–60 LPA, based on experience and skill level Employment: Full-Time Shift: 9:30 AM – 6:30 PM Notice Period: Immediate to 20/30 Days Hiring: Multiple Positions Key Responsibilities Design and develop production-ready Generative AI and LLM applications. Build backend services using Python, FastAPI, Flask and REST APIs. Develop RAG pipelines using embeddings and vector databases. Work with OpenAI GPT, Claude, Gemini and Llama models. Design prompt engineering strategies and optimize LLM responses. Build AI agent workflows using LangChain and LangGraph. Develop API-based AI applications and integrate enterprise systems. Work with vector databases such as Pinecone, Weaviate and pgvector. Containerize and deploy applications using Docker. Use Git and modern development practices for collaborative engineering. Build scalable AI solutions using cloud infrastructure. Mandatory Skills — 100% Match Required Candidates must have the relevant skills clearly mentioned in their resume: Python SQL FastAPI Flask REST APIs Git Docker OpenAI GPT Claude Gemini Llama Prompt Engineering LangChain LangGraph RAG Vector Databases Pinecone / Weaviate / pgvector Embeddings Large Language Models (LLMs) API Development Cloud Computing Good-to-Have Skills Candidates with strong exposure to the following will be preferred: CrewAI AutoGen LlamaIndex Kubernetes Redis Kafka Terraform AWS Microsoft Azure Google Cloud Platform CI/CD Monitoring & Observability Model Context Protocol (MCP) Function Calling LoRA PEFT Agentic AI Education B.E. / B.Tech M.Tech MCA M.Sc. Computer Science / IT / AI / Data Science Or equivalent practical experience

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