Founding AI Data Engineer - Optexity (India)

About OptexityOptexity is a product-driven research lab building clinical reasoning and computer use models on data no other lab can reach. We deploy directly inside clinics and hospitals — including systems with no APIs, using integration infrastructure we've built and open-sourced — and in return become their preferred partner. That gives us proprietary clinical reasoning trajectories from practicing physicians, and a feedback loop between real patient encounters, our models, and the products built on top of them.We're a small, fast-moving founding team with multiple published papers in NeurIPS, ICML, CVPR etc and background from Apple, Amazon, Microsoft, CMU, IIT.We are backed by world-class investors and leaders like Jeff Dean, Neotribe VC, PearVC, Together Fund and Zapier Fund. How we workCustomer obsession — we start with the customer and work backwardsIntellectual honesty — ideas matter more than titles; we communicate directly and assume good intent, even in disagreementBias for action — we build and learn with customers rather than debate in the abstractExtreme ownership — we own outcomes, not just tasks, and see problems throughWhy this role existsMost research roles at this stage hand you a dataset everyone already has and ask you to be marginally better than the last person who tried. Here you get data nobody else has — real clinical reasoning trajectories from practicing physicians — and the room to figure out what to do with it. This is a founding research hire: you'll define the agenda as much as execute it, with direct founder access, real compute, and nothing between an idea and an experiment.What you'll doWork with real, proprietary clinical data from hospital and clinic partners to surface insights that shape model and product directionBuild clinical reasoning models that improve physician and clinic workflowsDesign and publish benchmarks that expose where current LLMs fall short on real clinical reasoningEvaluate computer-use models on real-world tasksOwn the training and evaluation pipeline end to endTake open-ended problems from question to working model, with minimal predefined structureWrite up findings as technical reports and papersIdeal candidateHas real research experience — can define a problem, not just execute a known oneHas trained models before (not just fine-tuned APIs) and is fluent in PythonBachelor's in computer science and related fields.Energized by open-ended problems and ambiguityWants to publish, not just shipTakes ownership without needing to be guidedGenuinely wants a startup over big tech — speed and ambiguity as defaults, not exceptionsNice to havePrior founder or founding-engineer experienceStrong product tasteWorked on healthcare datasets beforeBuilt LLM-powered products beforeAmbitions to start your own company someday — we'll support that pathWhat you getDirect, daily work with the founders, plus exposure to board and investor conversationsReal ownership of technical direction, with scope that grows as the company doesFull compute and data to do the work properlyCompetitive salary and meaningful equity