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Katalyst Healthcares & Life Sciences

Full Stack Developer

Posted on Sept. 28, 2026

Ap, India
0 - 0 USD (yearly)

Full Time

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Overview:

We are seeking an experienced Full Stack Developer with strong expertise in the MERN stack (MongoDB, Express.js, React.js, and Node.js) to design, develop, and deploy scalable, cloud-based, AI-enabled applications.
The ideal candidate will have strong full-stack development experience along with hands-on exposure to integrating Generative AI, Large Language Models (LLMs), AI APIs, Retrieval-Augmented Generation (RAG), semantic search, and intelligent automation into modern applications.
This role is focused on building applications powered by AI, rather than developing or training AI/ML models from scratch. The developer will work across frontend, backend, databases, APIs, cloud infrastructure, and AI integrations to deliver secure, scalable, and production-ready applications.

Responsibilities:

Design, develop, test, deploy, and maintain scalable web applications using the MERN stack.
Develop responsive and reusable frontend components using React.js.
Build backend services, APIs, and application logic using Node.js, Express.js, and/or Nest.js.
Design and develop RESTful and GraphQL APIs and integrate third-party and enterprise services.
Integrate LLMs and Generative AI APIs into web and enterprise applications.
Build AI-enabled features such as intelligent search, conversational interfaces, document processing, summarization, classification, information extraction, recommendations, and workflow automation.
Develop Retrieval-Augmented Generation (RAG) solutions using enterprise data, documents, embeddings, semantic search, and vector databases.
Implement prompt management, AI workflow orchestration, structured outputs, validation, and appropriate guardrails for AI-generated content.
Design and optimize data models using MongoDB, PostgreSQL, and/or MySQL.
Develop secure authentication, authorization, role-based access, and API security.
Build reusable application components, services, integrations, and development frameworks.
Optimize application performance, scalability, reliability, security, and AI service utilization.
Implement application and AI workflow logging, monitoring, error handling, and observability.
Develop unit, integration, API, and automated tests to ensure application quality.
Participate in architecture discussions, technical design, code reviews, and development standards.
Support CI/CD, Docker/containerization, and AWS/GCP cloud deployments.
Collaborate with Product, UI/UX, QA, DevOps, and AI/ML teams throughout the development lifecycle.
Evaluate emerging AI technologies and identify opportunities to incorporate them into applications.

Qualifications:

Around 5 or more years of professional Full Stack/Application Development experience.
Strong hands-on expertise with MongoDB, Express.js, React.js, and Node.js (MERN).
Strong proficiency in JavaScript and TypeScript.
Strong frontend development experience with React.js.
Strong backend development experience with Node.js and Express.js.
Experience designing and developing RESTful APIs, GraphQL APIs, and microservices.
Strong experience with MongoDB and exposure to relational databases such as PostgreSQL and MySQL.
Hands-on experience integrating Generative AI/LLM APIs into applications.
Understanding of LLMs, prompt engineering, RAG, embeddings, semantic search, and vector databases/vector search.
Experience developing AI-powered features such as conversational interfaces, intelligent search, document processing, or workflow automation.
Experience with AWS and/or Google Cloud Platform (GCP).
Experience with Git, CI/CD, Docker, automated testing, and modern software development practices.
Good understanding of application security, authentication, authorization, and secure API development.
Strong analytical, debugging, and problem-solving skills.
Ability to independently take ownership of features from design through production deployment.
Experience with Nest.js, GraphQL, Angular, Ruby on Rails, Python, LangChain/LlamaIndex, vector databases, Kubernetes, or serverless technologies is a plus.