Software Engineer Intern

IAIRO is building foundational AI capability for India in the public interest Our health programme develops responsible AI systems that support clinicians researchers publichealth institutions and individuals seeking personalized daily guidance As a Software Engineer Intern you will help build data pipelines AIenabled 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 youll doSupport the design development and testing of services and data pipelines for health biomedical and personalizedwellness 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 deidentified or synthetic wearable lifestyle symptom sleep activity food medication and health data to generate personalized insights Workflows such as a personalized health assistant wearabledata insight generator simulated doctorpatient interaction Personiclestyle health timeline or diabetes chroniccare lifestyle guidance Contribute to integrations with healthdata standards where applicable and help identify suitable opensource tools datasets APIs and frameworks Build tests utilities architecture notes and clear documentation that accelerate the teams engineering workflow Present progress technical decisions results limitations and recommended next steps to project leads Domain project focusAgentic 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 longterm health needs Required qualificationsCurrently 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 softwaredevelopment 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 scikitlearn Understanding of APIs data handling and backend frontend workflows Experience with LLMs SLMs model training and pretraining 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 PreferredExperience 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 wearablestyle 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 A working production grade MVP tied to an agreed healthAI 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 interns portfolio What youll gainDirect mentorship from engineers AI researchers and healthdomain experts Influence and shape the design and user experience of products that could contribute to Indias future healthtech stack Exposure to endtoend responsible health AI from data handling to prototype delivery A completed project deliverable and final presentation for your portfolio Certificate and potential pathway to fulltime roles based on performance Governance data handlingThis internship may involve sensitive health information Interns will work only with deidentified or synthetic data under defined access controls and a named supervisor following IAIROs datagovernance policy Indias DPDP framework and applicable ICMR ethical guidance for AI in biomedical