Software Engineer Intern - Health & Biomedical AI

About The role

IAIRO is building foundational AI capability for India in the public interest. Our health programme develops responsible AI systems that support clinicians, researchers, public-health institutions, and individuals seeking personalized daily guidance. As a Software Engineer Intern, you will help build data pipelines, AI-enabled services, and lightweight MVPs inspired by AI Hospital, Agent Hospital, Personal Health Insights Agents, Personicle, and Personal Care Utility. You will work with engineers and domain experts, own a defined project deliverable, and present your work at the end of the internship.

What you'll do

• Support the design, development, and testing of services and data pipelines for health, biomedical, and personalized-wellness AI systems under mentorship.

• Build products using Python, APIs, notebooks, Streamlit, Gradio, Flask, FastAPI, or similar tools.

• Integrate ML and LLM components into workflows, including prompt engineering, retrieval, code execution, and basic agentic orchestration.

• Explore de-identified or synthetic wearable, lifestyle, symptom, sleep, activity, food, medication, and health data to generate personalized insights.

• Workflows such as a personalized health assistant, wearable-data insight generator, simulated doctor-patient interaction, Personicle-style health timeline, or diabetes/chronic-care lifestyle guidance.

• Contribute to integrations with health-data standards where applicable, and help identify suitable open-source tools, datasets, APIs, and frameworks.

• Build tests, utilities, architecture notes, and clear documentation that accelerate the team's engineering workflow.

• Present progress, technical decisions, results, limitations, and recommended next steps to project leads.

Domain & project focus

• Agentic clinical simulations: AI Hospital and Agent Hospital concepts involving patient, doctor, nurse, examiner, or supervisory agents.

• Personal health intelligence: Systems that use LLM agents, retrieval, code generation, and wearable data to produce personalized insights.

• Longitudinal personal context: Personicle and Personal Care Utility concepts using multimodal data, individual baselines, timelines, and contextual reasoning.

• Applied wellness and chronic care: Daily guidance across sleep, food, movement, stress, medication adherence, diabetes, and other long-term health needs.

Required qualifications

• Currently pursuing a M.Tech / PhD (or equivalent) in Computer Science, Software Engineering, AI/ML, Data Science, Biomedical Informatics, or a related field.

• Programming proficiency in Python; familiarity with software-development principles, debugging, testing, and version control (Git).

• Comfort with data handling using Pandas/NumPy and basic SQL, plus exposure to ML libraries such as PyTorch or scikit-learn.

• Understanding of APIs, data handling, and backend/frontend workflows.

• Experience with LLMs, SLMs, model training and pre-training.

• Ability to convert complex ideas into structured notes, comparisons, diagrams, product requirements, and testable hypotheses.

• Strong analytical thinking, clear documentation skills, curiosity, and a careful approach to sensitive health information.

Preferred

• Experience with LangChain, LlamaIndex, CrewAI, AutoGen, or comparable agent frameworks.

• Experience building small demos with Streamlit, Gradio, Flask, FastAPI, or Jupyter Notebook.

• Coursework or projects in healthcare, biomedical informatics, chronic disease, diabetes, fitness, wearables, behavioral health, or digital health.

• Familiarity with wearable-style data such as steps, sleep, heart rate, glucose, activity, symptoms, medication, or food logs.

• Understanding of exploratory data analysis, data visualization, cloud platforms, or containers such as Docker.

• A portfolio (GitHub, papers, prototypes, or projects) demonstrating relevant work.

Expected deliverables

• A working production grade MVP tied to an agreed health-AI use case.

• Synthetic datasets or mock user profiles for safe testing where needed.

• Technical documentation covering architecture, setup, workflows, evaluation, limitations, and next steps.

• A final presentation and code handover suitable for internal continuation and the intern's portfolio.

What you'll gain

• Direct mentorship from engineers, AI researchers, and health-domain experts.

• Influence and shape the design and user experience of products that could contribute to India's future health-tech stack.

• Exposure to end-to-end, responsible health AI, from data handling to prototype delivery.

• A completed project deliverable and final presentation for your portfolio.

• Certificate and potential pathway to full-time roles based on performance.

Governance & data handling

This internship may involve sensitive health information. Interns will work only with de-identified or synthetic data under defined access controls and a named supervisor, following IAIRO's data-governance policy, India's DPDP framework, and applicable ICMR ethical guidance for AI in biomedical research.

Equal opportunity & fair hiring

IAIRO is an equal-opportunity employer and does not discriminate on any characteristic protected by law. We never charge fees at any stage of recruitment; any such request is fraudulent and should be reported.