Role Overview
We are looking for a hands-on Senior Full-Stack AI Engineer who can independently design, develop, test, and deploy end-to-end Agentic AI applications using React.js and Python.
You will be responsible for taking a business requirement, breaking it into modules, deciding the application architecture, designing data structures and APIs, integrating AI components, and delivering a fully functional, production-ready solution. Need someone who can think independently, make technical decisions, integrate services, and take complete ownership of the application lifecycle as a Indidual Contributor.
Key Responsibilities
End-to-End Development: Build complete AI applications using React.js for the frontend and Python for the backend.
Solution Design: Understand business requirements, divide work into modules, and define application architecture, data structures, and API requirements.
Agentic AI Development: Integrate LLMs, RAG pipelines, AI agents, tool calling, and frameworks such as Lang Chain and Lang Graph.
Service Integration: Integrate third-party APIs, databases, AI models, MCP servers, and other required services and protocols.
Database Design: Design and manage relational databases and vector databases based on application requirements.
Deployment & Infrastructure: Handle end-to-end deployment, CI/CD pipelines, Docker, cloud infrastructure, and production releases.
Testing & Quality: Perform end-to-end testing, including unit, integration, functional, and smoke testing, to ensure application reliability.
Performance & Security: Monitor application performance, troubleshoot issues, and follow secure coding and deployment practices.
Ownership & Communication: Work independently, communicate effectively with stakeholders, provide regular updates, and support off-hours activities when required by business needs.
Required Technical Skills
Strong hands-on experience with React.js, JavaScript/TypeScript, and modern frontend development.
Strong Python programming skills with experience in Fast API, Django, or similar backend frameworks.
Practical experience building and deploying end-to-end AI applications.
Good understanding of LLMs, RAG, vector databases, prompt engineering, and AI agent workflows.
Experience with frameworks such as Lang Chain or Lang Graph.
Understanding of MCP, tool calling, function calling, and API integrations.
Experience with SQL/NoSQL databases, REST APIs, and data modelling.
Experience with Docker, CI/CD, cloud platforms, and production deployments.
Hands-on experience with automated testing frameworks such as Py-Test and Jest.
Pay: ₹2,200,000.00 per year
Work Location: In person
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