Lead Full Stack AI Developer

Lead Engineer Full Stack AI Developer

Experience: 8–12 Years
Location: India
Employment Type: Permanent, Full-Time
Industry: Medical Devices / Healthcare Technology

Role Summary

We are looking for a Lead Engineer – Full Stack AI Developer to join our AI/GenAI engineering team and build enterprise-grade applications in a regulated medical-device environment.

The ideal candidate should have strong hands-on experience in Python, FastAPI, Angular, TypeScript, Microsoft Azure and Generative AI/LLM technologies. The candidate will be responsible for application development, technical design, architecture, deployment and maintenance of scalable cloud-based solutions.

Key Responsibilities

• Design, develop and maintain scalable full-stack AI/GenAI applications.
• Develop modern frontend applications using Angular, TypeScript, JavaScript, HTML5 and CSS/SCSS.
• Build scalable backend services using Python and FastAPI.
• Design and implement RESTful APIs, asynchronous services and streaming APIs.
• Work with Server-Sent Events (SSE) and real-time application capabilities.
• Design and manage application databases using PostgreSQL, MongoDB or Azure Cosmos DB.
• Integrate LLM and Generative AI capabilities into enterprise applications.
• Develop and consume AI-powered workflows using frameworks such as LangChain, CrewAI or similar AI agent frameworks.
• Work with RAG, AI agents, vector search and enterprise AI solutions.
• Deploy and manage applications on Microsoft Azure using IaaS and PaaS services.
• Work with Azure services such as App Service, Functions, Virtual Machines, Cosmos DB, Cognitive Services and Azure AI Search.
• Develop and maintain CI/CD pipelines for automated build, testing and deployment.
• Perform application testing, debugging, performance optimization and production troubleshooting.
• Contribute to solution architecture, technical design and technology evaluation.
• Design solutions for scalability, availability, security and maintainability.
• Troubleshoot application, database, network, storage and deployment issues.
• Ensure compliance with quality, information security and data privacy requirements.
• Collaborate with architects, product managers, designers and cross-functional engineering teams.
• Work effectively within Agile / SAFe environments.

Mandatory Skills

• 8–12 years of software development experience
• Strong hands-on experience in Python
• Strong experience with FastAPI
• Strong experience with Angular
• Strong experience with TypeScript
• Good knowledge of JavaScript, HTML5 and CSS/SCSS
• Strong experience in REST API development
• Experience with PostgreSQL, MongoDB or Cosmos DB
• Hands-on experience with Microsoft Azure
• Experience developing and deploying cloud-based applications
• Experience with Generative AI / LLM
• Experience integrating AI/LLM capabilities into applications
• Strong understanding of software architecture and design
• Experience with CI/CD and DevOps practices

AI / GenAI Skills

Experience with one or more of the following is highly desirable:

• Generative AI
• Large Language Models (LLM)
• LangChain
• CrewAI
• RAG
• AI Agents / Agentic Workflows
• Azure OpenAI
• Azure AI Search
• Vector Databases
• Prompt Engineering
• AI-powered enterprise applications

Preferred Skills

• RDF / SPARQL
• Knowledge Graphs
• Enterprise Knowledge Graph platforms
• Databricks
• Server-Sent Events (SSE)
• Uvicorn
• Docker / Kubernetes
• Microservices
• Azure Functions
• Azure Service Bus
• Azure Cognitive Services
• Automated testing
• Performance testing and optimization
• Healthcare / Medical Device domain experience
• Experience working in regulated environments
• SAFe / Scaled Agile Framework

Education

BE/BTech/MS/MCA in Computer Science, Information Technology, Software Engineering or a related discipline.

What We Are Looking For

We are looking for an engineer who can work across the complete application lifecycle — from frontend development and Python backend services to Azure deployment and AI/LLM integration.

The ideal candidate should be comfortable taking ownership of technical problems, contributing to architecture decisions and delivering reliable, scalable enterprise solutions.

Mandatory Key Skills

Python | FastAPI | Angular | TypeScript | Azure | GenAI | LLM | REST API | PostgreSQL | MongoDB