Fully Stack Ai engineer

Lead Full Stack AI Engineer Experience: 4–8 Years Location: Remote (India) Employment Type: Full-time CTC: Up to ₹30 LPA About the Role We are looking for a Lead Full Stack AI Engineer to build and scale production-grade AI applications. This role is ideal for someone who has hands-on experience developing Generative AI solutions, Retrieval-Augmented Generation (RAG) systems, and AI agents while also leading technical initiatives and mentoring engineers. You will own the end-to-end development lifecycle—from designing intuitive front-end applications to building scalable backend services, AI pipelines, and production-ready agentic workflows. Key Responsibilities • Design, develop, and deploy full-stack AI applications. • Build production-ready AI agents using LLMs and agent frameworks. • Develop and optimize Retrieval-Augmented Generation (RAG) pipelines. • Build scalable backend services and APIs using Python. • Develop responsive web applications using Next.js, React, and TypeScript. • Integrate vector databases, embeddings, semantic search, and AI workflows. • Ensure system reliability through monitoring, logging, evaluation, and testing. • Collaborate with product and engineering teams to deliver scalable AI solutions. • Lead a small team of engineers through mentoring, code reviews, and technical guidance. • Drive architectural decisions and engineering best practices. Required Skills • 4+ years of software engineering experience. • 1–2+ years of hands-on experience building production Generative AI applications. • Strong proficiency in Python. • Strong experience with Next.js, React.js, and TypeScript. • Experience building RAG (Retrieval-Augmented Generation) applications. • Hands-on experience with LangChain, LangGraph, LlamaIndex, or similar AI frameworks. • Solid understanding of LLMs, AI Agents, Prompt Engineering, Tool Calling, and Agent Orchestration. • Experience with vector databases such as Pinecone, Weaviate, Qdrant, Chroma, or Milvus. • Experience with PostgreSQL and cloud platforms (AWS, Azure, or GCP). • Strong understanding of REST APIs, system design, Docker, Git, and CI/CD. • Experience using AI coding assistants like Cursor, Claude Code, or GitHub Copilot. Preferred Skills • Experience with AI evaluation and observability tools such as LangSmith, LangFuse, Braintrust, Phoenix, or Arize. • Experience working with large-scale document processing or enterprise AI solutions. • Knowledge of security, compliance, and handling sensitive enterprise data. • Previous experience leading engineering teams or technical projects. • Open-source contributions are a plus. What We're Looking For • Strong problem-solving and analytical skills. • Ownership mindset with the ability to thrive in a fast-paced environment. • Excellent communication and collaboration skills. • Passion for building scalable AI products and staying updated with the latest AI advancements. • Ability to mentor engineers and lead technical initiatives. Benefits • Fully Remote (Work from Anywhere) • Competitive salary up to ₹30 LPA • Opportunity to work on cutting-edge AI products. • High ownership, collaborative culture, and excellent learning opportunities.