KH
Full Stack Developer
Katalyst Healthcares & Life Sciences
Location not stated
Mid level
5 days ago
- MongoDB
- Express.js
- React.js
- Node.js
- AI
- Machine Learning
- Large Language Models
- RAG
- AI/ML
- NestJS
- PostgreSQL
- MySQL
- CI/CD
- Docker
- AWS
- GCP
- UI/UX
- Devops
- JavaScript
- TypeScript
- REST API
- Microservices
- LLM APIs
- Vector Search
- Git
- GraphQL
- Angular
- Ruby on Rails
- Python
- LangChain
- LlamaIndex
- Kubernetes
5 days ago
- 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.
- 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.
- 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.
Full Stack Developer · Katalyst Healthcares & Life Sciences