Job description
 
                         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 .
 
                    
                    
Required Skill Profession
 
                     
                    
                    Computer Occupations