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.
* Positive 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.

📌 Senior Full-Stack AI Engineer (Jaipur)
🏢 Engineering:Enterprise Applications Python
📍 Jaipur