AI Intern — Applied AI (LLMs & Vision)

Company Description Natoe AI is dedicated to transforming diagnostic imaging through a close collaboration between radiologists and advanced artificial intelligence. The company’s flagship product, Natoe AI Copilot, is an AI-powered radiology workflow and reporting platform that combines FDA-approved imaging models with large language models (LLMs) to generate structured preliminary reports in minutes. The platform improves diagnostic accuracy, reduces report turnaround times, and helps alleviate radiologist workload so teams can focus on complex cases. Imaging centers benefit from measurable ROI through better throughput, optimized resource utilization, and seamless integration with existing PACS, RIS, and health IT systems without additional hardware. Natoe AI invites talent to help shape the future of radiology in a rapidly evolving health-tech environment.We turn medical imaging into draft radiology reports using a mix of frontier and locally-hosted models — then check them before a radiologist signs off. You'll work across the whole stack: generation, evaluation, retrieval, and personalization.What you'll doBuild and improve LLM-based generation & structuring of long-form clinical text across imaging modalities (X-ray, CT, MR, ultrasound, mammography)Prompt-engineer and evaluate at scale: golden sets, graders (incl. LLM-as-judge), and regression gates over thousands of de-identified reportsExperiment with multimodal & on-premise vision-language models; benchmark competing models against each other and pick the right one per taskBuild retrieval systems (RAG) end-to-end: chunking, embeddings, indexing, ranking, and measuring retrieval qualityBuild personalization: preference memory and feedback loops that adapt output to each userYou'll fit if youAre from IIT / NIT / BITS Only, with strong Python and CS fundamentals ( B.Tech / M.Tech, final year, or recent graduate.)Have shipped something with LLMs (prompts, RAG, agents, an API)Can design an eval and trust data over vibesAre curious, take ownership, high agency and will actually read the dataWhat Would Make You Stand Out: Medical imaging AI — detection, classification, segmentation, or report generation across X-ray, CT, MR, ultrasound, or mammographyDICOM / PACS or public medical-imaging datasets and challengesComputer vision / vision-language modelsLLM evaluation & observabilityVector databases & embedding searchModern deep-learning frameworksGenuine curiosity about clinical data and healthcareResearch, internships, thesis work, academic projects, and competition experience all count.Why Join Natoe AINatoe AI is building at the intersection of medical imaging, applied AI, and intelligent healthcare workflows. As an AI Intern, you’ll get hands-on exposure to real-world AI problems involving LLMs, computer vision, and multimodal AI, while working closely with the founding and technical teams. This is an opportunity to move beyond experimentation and contribute to AI solutions that can create meaningful impact in healthcare.