Artificial Intelligence Engineer

Senior Generative AI Engineer Experience: 5+ Years Location: Remote (India) About the Role We are looking for a highly skilled Senior Generative AI Engineer to join our engineering team. The ideal candidate should have strong experience in designing, developing, and deploying AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and modern cloud technologies. The candidate should be passionate about leveraging AI to build scalable, production-grade solutions and be comfortable working in an AI-first development environment. Key Responsibilities Design, develop, and deploy Generative AI applications using Large Language Models (LLMs). Build AI-powered products utilizing RAG pipelines, vector databases, and semantic search. Develop AI agents and multi-agent systems using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar. Integrate OpenAI, Anthropic Claude, Gemini, or other LLM APIs into production applications. Design prompt engineering strategies and optimize AI model performance. Build scalable backend services using Python and FastAPI (or similar frameworks). Develop REST APIs and integrate AI services into web applications. Deploy and maintain AI applications on AWS cloud infrastructure. Collaborate with product managers, designers, and engineering teams to deliver AI-driven solutions. Optimize application performance, scalability, and reliability. Participate in code reviews and contribute to architectural decisions. Use AI coding assistants such as Claude Code, Codex, Cursor, or GitHub Copilot to improve development productivity. Required Skills 5+ years of software development experience. Strong experience with Python. Hands-on experience with Large Language Models (LLMs). Experience with OpenAI GPT, Claude, Gemini, or similar foundation models. Strong understanding of Retrieval-Augmented Generation (RAG). Experience with LangChain, LangGraph, LlamaIndex, CrewAI, or AutoGen. Experience with Vector Databases such as Pinecone, Weaviate, ChromaDB, Milvus, or Qdrant. Strong API development experience using FastAPI or Flask. Experience with PostgreSQL or MongoDB. Experience with Git and version control. Familiarity with Docker and containerization. Experience with AWS services. Preferred Skills AI Agents and Agentic AI workflows. MCP (Model Context Protocol). Prompt Engineering. Fine-tuning and model evaluation. Kubernetes. CI/CD pipelines. Terraform or Infrastructure as Code (IaC). Supabase. Event-driven architecture. Experience building AI SaaS products. AI-First Requirement (Mandatory) The ideal candidate should have hands-on experience using AI coding assistants such as: Claude Code OpenAI Codex Cursor AI GitHub Copilot Candidates should be comfortable using AI for planning, implementation, debugging, testing, documentation, and code reviews as part of their daily development workflow. Qualifications Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. Excellent problem-solving and communication skills. Ability to work independently in a fast-paced environment. Keywords for Better Reach on Naukri Generative AI | GenAI | LLM | GPT | OpenAI | Claude | Gemini | LangChain | LangGraph | CrewAI | LlamaIndex | RAG | AI Agents | MCP | Prompt Engineering | Pinecone | ChromaDB | Qdrant | Vector Database | Python | FastAPI | AWS | Docker | Kubernetes | GitHub Copilot | Cursor AI This version is optimized to attract experienced Senior Generative AI Engineers with strong production experience in LLMs, RAG, AI agents, and cloud-native AI development.