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AI / Full Stack Intern

  • Source: Naukri
  • Health Data Max
  • Hybrid
  • Hyderabad
  • Full-Time
  • Junior

Job Description

We are looking for a hands-on AI / Full Stack Engineering Intern to build real-world AI products at the intersection of Healthcare, Generative AI, and Cloud Engineering.

You will work closely with senior engineers to design, develop, and deploy scalable AI-powered applications using Python, FastAPI, ReactJS, and Microsoft Azure, with a strong focus on LLMs, RAG pipelines, and healthcare data systems.

This is a high-impact role where you will contribute directly to production systems involving AI agents, APIs, and healthcare workflow automation.

Key Responsibilities

  • Build and deploy full-stack applications using Python (FastAPI), ReactJS, and TypeScript
  • Develop scalable APIs, SDKs, and microservices for AI-driven workflows
  • Work on RAG (Retrieval-Augmented Generation) pipelines and LLM-based systems
  • Integrate and manage vector databases (MongoDB / Cosmos DB / Azure AI Search)
  • Assist in designing AI agents and Model-as-a-Service (MaaS) components
  • Work with Azure Functions and Azure cloud services for deployment
  • Support experimentation with LLMs, prompt engineering, and AI optimization techniques
  • Collaborate on healthcare analytics, automation, and NLP-driven insights
  • Participate in DevOps, CI/CD, and deployment automation workflows

Soft Skills

  • Strong curiosity and willingness to learn rapidly
  • Ability to work independently in a fast-paced startup environment
  • Strong problem-solving mindset
  • Good communication and collaboration skills
  • Ownership mindset and execution focus

Skills

  • Python
  • FastAPI
  • microsoft-azure
  • TypeScript
  • microsoft-typescript
  • aws-sdks
  • MongoDB
  • azure-cosmos-db
  • azure-search
  • azure-functions
  • microsoft-azure-functions

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This listing is a publicly available opportunity curated by Try Club to help talent discover relevant roles. Try Club is an independent platform and is not affiliated with Health Data Max

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