Lead Engineer – AI-Powered Full Stack Solutions ( 5+ yrs)

Lead Engineer – AI-Powered Full Stack Solutions (WFH)

Experience:

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Number of Positions:

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Educational Qualification:

Industry:

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What We Are Looking For

• Proven expertise in delivering complex, cross-domain projects across AI, Fintech, Data, and Retail sectors.
• Strong proficiency in full stack development using

  React.js, Node.js, Python

  , and

  modern databases (SQL/NoSQL)

  .
• Hands-on experience in

  AI/ML API integrations

  (OpenAI, Anthropic, Hugging Face) and frameworks like

  LangChain, LangGraph

  , and

  Vector Databases (FAISS, Pinecone, Chroma)

  .
• Ability to lead and mentor technical teams, manage sprints, and oversee project execution in

  Agile/Scrum environments

  .
• Sound knowledge of

  cloud deployment and automation (AWS/Azure/GCP)

  with CI/CD and containerization experience.

Responsibilities

• Lead the

  architecture, design, and development

  of scalable full stack applications with React.js, Node.js, and Python.
• Integrate

  AI/ML APIs

  into live systems, enabling intelligent automation and decision-making features.
• Design and implement

  LangChain/LangGraph pipelines

  and manage

  vector databases

  for advanced AI interactions.
• Ensure

  code quality, performance optimization, and scalability

  through robust design and continuous reviews.
• Collaborate with

  data, product, and AI teams

  to align technical roadmaps and delivery timelines.
• Manage

  end-to-end DevOps

  processes — from cloud deployment to CI/CD pipeline automation.
• Stay ahead of emerging

  AI frameworks, tools, and LLM-based development trends

  to innovate within ongoing projects.
• Take

  ownership of delivery

  , ensuring all projects meet quality, reliability, and performance standards.

Qualifications

• 6–10 years of

  hands-on experience

  in full stack development with proven expertise in

  React.js, Node.js, Python, FastAPI, or Django

  .
• Deep understanding of

  AI/ML integration

  using

  LangChain, LangGraph, and Vector Databases

  (FAISS, Pinecone, Chroma).
• Proven experience working with

  cloud environments

  (AWS/Azure/GCP) and

  DevOps tools

  (Docker, Kubernetes, CI/CD).
• Strong foundation in

  API design, microservices, and distributed system architecture

  .
• Prior leadership or mentorship experience in

  Agile/Scrum-based teams

  .
• Excellent

  problem-solving, debugging, and communication skills

  .
• Bachelor’s or Master’s degree in

  Computer Science, Engineering, or related discipline

  .