Job Title: Senior Full-Stack AI Engineer (Agentic AI) Location: Jaipur / Indore Employment Type: Full-Time Experience : 3 to 6 years 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 usingReact.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. We need someone who can think independently, make technical decisions, integrate services, and take complete ownership of the application lifecycle.

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.Ideal Candidate Can independently convert business requirements into a working technical solution.

Can make decisions about architecture, data flow, APIs, AI components, and integrations.

Is comfortable working across frontend, backend, AI, testing, and deployment.

Has a problem-solving mindset and takes end-to-end ownership of deliverables.

Has excellent communication skills and is willing to provide off-hours support when business requirements demand it. Regards, Chinmay From: Lalit Singh Choudhary > Date: Friday, 9 October 2026 at 7:34 AM To: Chinmay Kant Jain > Subject: Re: JD for Senior Software Engineer Hi Chinmay, Are we looking for Senior full stack AI engineer or Architect ? Please go through the JD, sometimes it uses architect and sometime Sr. engineer. Also is it too strict?

Thanks and Regards Lalit From: Chinmay Kant Jain > Date: Saturday, 3 October 2026 at 10:46 PM To: Lalit Singh Choudhary > Subject: JD for Senior Software Engineer Job Title: Senior Full-Stack AI Engineer (Agentic Systems & Infrastructure) Location: Jaipur/Indore Type: Full-Time The Mission We are not looking for someone to simply build "wrappers" around LLMs. We are building high-sophistication, agentic systems that can reason, use tools, and execute complex multi-step workflows. You will be responsible for building the end-to-end infrastructure—from high-performance asynchronous backends and sophisticated RAG pipelines to sophisticated multi-agent architectures using the latest Model Context Protocol (MCP) standards.

You will work on Agentic AI driven insight platform that transforms complex data into actionable strategic roadmaps.

The Role: What You Will Do Architect & Build Agentic Systems: Move beyond simple prompts.



Design and implement agent architectures using LangGraph and custom frameworks that support long-term memory, tool/function calling, and task delegation.

Advanced RAG Engineering: Build and optimize Retrieval-Augmented Generation pipelines, focusing on vector database mechanics, sophisticated ranking/re-ranking strategies, and citation accuracy.

High-Performance Backend Architecture: Design scalable, distributed systems using FastAPI and AsyncIO, ensuring high concurrency and productive multi-threading/multiprocessing for AI workloads.

Full-Stack Productization: Develop polished, production-ready frontends (React/Next.js) that provide seamless interfaces for complex AI outputs and data-heavy dashboards.

Observability & Evaluation: Implement rigorous LLM/Agent evaluation frameworks (Latency, Cost, Accuracy) using tools like Arize AI and LangSmith.

Infrastructure & DevSecOps: Own the CI/CD pipeline, ensuring that deployments are automated, scalable (Kubernetes/Docker), and secure against modern vulnerabilities (SAST/DAST).Technical Requirements To be successful, you must possess a deep understanding of:

Frontend: Expert-level React.js, Next.js (or Nuxt), TypeScript, Tailwind CSS, and Material UI.

Backend & Systems: Mastery of Python (Django/FastAPI), AsyncIO, Concurrency/Parallelism, Pydantic, and SQLAlchemy.

The AI Stack: Deep experience with OpenAI/Gemini/Claude SDKs, LangChain, LangGraph, and Agentic AI patterns (Multi-Agent Systems, Tool Use).

Cutting-Edge Protocols: Experience or deep interest in the Model Context Protocol (MCP) and Agentic Development Workflows.

Databases: Proficiency in both SQL (PostgreSQL, MySQL) and Vector Databases.

DevSecOps & Cloud: Production experience with AWS/Azure, Docker, Kubernetes, and a "security-first" mindset (CVE Analysis, CI/CD Security Gates).

Testing: A "Test-Driven" mindset. Proficiency in PyTest, Jest, and React Testing Library.The Ideal Candidate Profile The Architect's Mindset: You don't just write code; you think about systems. You understand how to structure data flow, optimize token limits, and design for "long-term memory" in AI agents.

The Polyglot: You can move seamlessly between the nuances of a React frontend, a high-performance Python backend, and the non-deterministic nature of Large Language Models.

- The Perfectionist: You care about observability, evaluation metrics, and security—you want to build AI that is not only smart but reliable and production-ready.

📌 AI FullStack Engineer (Jaipur)
🏢 Pratham Software
📍 Jaipur