AI / Senior AI Engineer

The role

Most companies that say they "build AI" are wiring API calls to somebody else's model. We do that too, where it makes sense. But the interesting problems at Innovaccer are the ones a general-purpose model cannot solve: reasoning over a patient record that spans eleven systems and thirty years, deciding whether a prior authorization meets a payer policy that changed last Tuesday, extracting a diagnosis code with an accuracy bar where being wrong has consequences.

Those problems need models we train, evaluate, and own.

This team builds them. You will work on post-training and domain adaptation of language models from a few billion parameters up to the hundreds of billions, agent architectures that hold up over long horizons, evaluation systems that tell the truth, and the inference infrastructure that gets all of it running under real latency and cost budgets. You will read papers on Monday and have something running by Friday. You will also be the person who takes it to production, because we do not have a research group that throws prototypes over a wall.

Innovaccer is committing $250M over three years to its agentic AI platform. This team is where a meaningful share of that goes.

What you will work on

Nobody does all of this. You go deep on one or two areas and stay conversant in the rest.

Building the model systems behind entire products

Our products are not one model with a prompt in front of it. Flow