Key Responsibilities

AI Agent Development (Core)

- Build, extend, and productionise AI agent features tool calling, multi-step workflows, memory handling, and structured output validation.
- Integrate LLM APIs (OpenAI, Anthropic Claude, and similar) into product features with robust error handling, retry logic, and fallback chains.
- Implement guardrails, output validation, and hallucination checks to ensure AI features are reliable enough for enterprise B2B use.
- Take AI-generated and prototype code and harden it for production adding tests, securing endpoints, and resolving edge cases.
- Work with AI frameworks or libraries such as LangChain or equivalent tools to create straightforward AI workflows and prompt-based applications.

Application Development

- Design, develop, and maintain scalable REST APIs using Node.js, Express.js, and MongoDB.

- Build responsive, scalable React.js frontends and develop RESTful APIs using Node.js and Express.js.
- Integrate frontend components with backend APIs, databases, and AI services.
- Build backend modules independently such as Authentication, User Management, Dashboard APIs, Notifications, and Admin modules.
- Design and manage MongoDB / PostgreSQL databases and schemas. • Design database schemas and write optimized MongoDB queries using Mongoose, including aggregations and indexes when required.
- Implement authentication, authorization (RBAC), and API security.
- Optimise backend performance and database queries.



• Follow clean architecture principles by organizing code using MVC or layered architecture with Controllers, Services, Models, and Routes.
- Create and optimise prompts to generate structured and reliable responses from AI models.
- Develop reusable and responsive UI components using React.js and integrate them with backend APIs.

Quality, Testing & Collaboration

- Collaborate with cross-functional teams to understand requirements, estimate effort, and deliver features within timelines.
- Write clean, maintainable, and well-documented code, participate in code reviews, and follow software engineering best practices
- Use AI-powered development tools (Cursor, GitHub Copilot, Claude Code) responsibly to accelerate delivery while ensuring correctness and security.

Technical Skills & Expertise

AI & Generative AI Skills (Core)

- Experience working with OpenAI API, Claude API, and Gemini API

- Hands-on experience with LangChain and LangGraph
- Strong understanding of Prompt Engineering
- Ability to generate and process Structured JSON Outputs
- Experience integrating AI Chatbots and AI Assistants into applications • Knowledge of AI Agent Development and autonomous workflows

Must-Have Skills

- Backend Development: Node.js, Express.js
- Database Management: MongoDB, Mongoose, PostgreSQL
- API Development: RESTful APIs
- Programming Languages: JavaScript, TypeScript
- Frontend Development: React.js
- Version Control: Git
- Authentication & Security: JWT Authentication
- Architecture & Design Patterns: MVC Architecture, Layered Architecture

📌 Mern Stack Developer (Chennai)
🏢 Ignitho
📍 Chennai