MERN Full Stack AI/ML Developer

About this job

We are looking for a skilled MERN Full Stack AI/ML Developer to design, develop, and deploy intelligent, scalable web applications. You will bridge the gap between traditional full-stack web engineering and modern AI/ML capabilities—building responsive user interfaces, robust RESTful/GraphQL APIs, database schemas, and AI-powered microservices or API integrations (OpenAI, Claude, Gemini, or custom Python ML models).

Key Responsibilities

• Full-Stack Web Development: Design, build, and maintain scalable front-end and back-end architectures using MongoDB, Express.js, React.js, and Node.js.
• AI & LLM Integration: Integrate third-party Generative AI APIs (e.g., OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini) or custom-trained/fine-tuned models into web applications.
• AI Feature Implementation: Build intelligent features such as conversational chatbots, RAG (Retrieval-Augmented Generation) search engines, document summarization, automated classification, and data visualization dashboards.
• Python & ML Interoperability: Write or interface with Python-based microservices or scripts (FastAPI, Flask, LangChain, LangGraph, Pandas, NumPy, scikit-learn) to handle data pipelines and machine learning tasks.
• Database & API Design: Create secure, high-performance RESTful APIs in Node.js/Express and manage data modeling in MongoDB (and optionally SQL/Vector databases).
• Deployment & DevOps: Deploy and monitor applications on cloud platforms (AWS, Azure, or GCP) using containerization (Docker) and CI/CD pipelines.
• Cross-Functional Collaboration: Work alongside UI/UX designers, product managers, and data scientists to translate business requirements into functional AI-driven products.

MERN Stack

• Frontend: React.js, Redux/Context API, HTML5, CSS3/Tailwind CSS, JavaScript (ES6+), TypeScript.
• Backend: Node.js, Express.js, REST APIs, WebSockets.
• Database: MongoDB (Mongoose), plus familiarity with vector databases (Pinecone, Chroma) or SQL (PostgreSQL) a plus.

AI / ML & Python Stack

• Proficiency in Python and ML/AI frameworks (FastAPI, Flask, LangChain, LangGraph).
• Experience with LLM orchestration, prompt engineering, embedding generation, and vector search.

Tools & DevOps: Git/GitHub, Postman, Docker, CI/CD, and cloud hosting (Vercel, Render, AWS, or Azure).

Qualifications & Experience

• Education: Bachelor’s degree in Computer Science, Information Technology, or equivalent practical experience.
• Experience: Minimum 2 years experience of hands-on software development experience building production MERN web applications, with proven academic or commercial projects involving AI/ML or LLM integrations.
• Problem-Solving: Strong analytical mindset, ability to work through ambiguity, and eagerness to learn fast-evolving AI tooling.

Pay: ₹30,000.00 - ₹35,000.00 per month

Benefits

• Paid time off
• Provident Fund

Experience

• AI/ML: 2 years (Required)

Work Location: In person