About Client:
Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. It partners with major firms in banking, healthcare, telecom, and media.
Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia
Job Title: Full Stack Developer
Location: Bangalore
Experience: 10-15 Years
Job Type: Contract to Hire
Notice Period: Immediate Joiners
Mandatory Skills : Python , React , JavaScript.
Job Description:
As discussed, We are looking for a talented Full Stack AI Engineer to join our Data Science & Innovation team, who will work on cutting-edge Generative AI applications built on Lang Graph and Lang Chain, taking ownership of both the frontend experience and backend infrastructure that powers our AI companion applications in production.
Please let us know if you have someone who fits this profile.
What Person Will Work On
· Build and enhance UI/UX for AI-powered chat applications using React
· Own the end-to-end request/response lifecycle between frontend and backend AI agents
· Design and implement chat history, session management and state persistence
· Integrate frontend with LangGraph/LangChain-based AI agent backends
· Build and maintain Python backend APIs and middleware layers
· Work with databases (MongoDB, Databricks) for data storage and retrieval
· Collaborate with Data Scientists and ML engineers to deploy AI features in production
Required Skills
· Strong proficiency in React and modern JavaScript/TypeScript
· Hands-on experience with Python for backend development
· Experience building RESTful APIs and middleware layers
· Familiarity with chat application architecture — request/response handling, chat history, session management
· Understanding of LLM/AI application architecture (LangChain, LangGraph — good to have)
· Experience with databases — MongoDB, Databricks, SQL or similar
· Ability to work across the full stack independently