- Lead Full Stack AI Engineer
- Experience: 4–8 YearsLocation: 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.
- Solid 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.

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