Lead Engineer – AI-Powered Full Stack Solutions (WFH)
Experience: 7 to 10 Years
Location: Work from Home / Bangalore / India
Number of Positions: 2
Employment Type: Full-time
Educational Qualification: B.E / B.Tech / M.Tech / MCA / Computer Science / IT
Industry: IT / AI / Data-ITES
Notice Period: Immediate Joiners Preferred
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 .