Generative AI Engineer

About the Role\nWe are looking for a Full Stack Agentic AI Engineer who is passionate about building the next generation of AI-native products. This role combines modern full-stack development with cutting-edge Generative AI technologies to create intelligent, autonomous applications from 0→1 and scale them into production.\nYou will work across the entire stack—designing responsive user interfaces, building robust backend services, integrating Large Language Models (LLMs), developing Agentic AI workflows, and deploying scalable AI systems that solve real business problems.\nKey Responsibilities\nBuild and ship AI-native web applications using React.js and Python .\nDesign and develop Agentic AI workflows leveraging LLMs and autonomous agents.\nBuild Retrieval-Augmented Generation (RAG) applications using vector databases and enterprise knowledge sources.\nOwn product features end-to-end—from architecture and development to deployment, monitoring, and optimization.\nDevelop REST APIs and backend services to support AI-powered applications.\nIntegrate AI models from providers such as OpenAI, Anthropic, Gemini, or open-source LLMs.\nWork with vector databases such as Pinecone, Weaviate, Chroma, FAISS, or Milvus.\nImplement prompt engineering, tool calling, memory management, and multi-agent orchestration.\nOptimize AI applications for latency, cost, reliability, and scalability.\nCollaborate with product managers, designers, and engineering teams to deliver production-ready solutions.\nBuild CI/CD pipelines and deploy applications on cloud platforms such as AWS, Azure, or GCP.\nMonitor AI systems for performance, hallucinations, and overall user experience.\nAI & LLMs\nHands-on experience with Generative AI and LLM applications\nExperience building RAG pipelines\nKnowledge of embeddings and semantic search\nFamiliarity with LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or similar frameworks\nExperience with AI agents and workflow orchestration