Health Data Analytics Institute

Senior Ai Engineer

Dedham, MA, US$160,367-$185,457Posted 25 days ago

Job Description

Senior AI Software Engineer

About Us

Health Data Analytics Institute (HDAI) is a commercial-stage HealthTech company. Our Intelligent Health Management System, HealthVision™, is a first-in-class enterprise solution leveraging real-time predictive analytics and generative AI to deliver improved outcomes, efficiencies, and economics for health systems and value-based care organizations.

HDAI is located in Dedham, MA near the Dedham Corporate Center Commuter Rail station on the Franklin/Foxboro line (25 minutes from Back Bay and South Station, Boston) and I-95/128.

Summary

We are hiring a Senior AI Software Engineer to join our Product Engineering team. In this role, you will bridge the gap between Data Science and production software by owning our full AI/ML backend. This includes a high-throughput predictive inference engine (scoring 580+ patient risk models in real time) and generative LLM pipelines on Amazon Bedrock (powering clinical summaries and diagnostic discovery).

You will work across the entire backend stack as priorities shift, developing deep domain expertise while ensuring complete system coverage.

We expect you to use AI tools daily to multiply your output.

Responsibilities

  • Inference engine. Own the system that scores patients against hundreds of predictive models in production. Understand the scaling concerns (580+ models, memory pressure, compute efficiency) and drive architectural improvements.
  • ML productization. Work with Data Science to take model artifacts (coefficient files, scoring logic built in R) and ensure they run correctly in the production Python inference pipeline. Understand the underlying model logic and statistical outputs well enough to validate data and parity between the R development environment and production output. Build tooling that automates validation and reduces the manual reimplementation cycle.
  • LLM applications. Build and maintain production LLM integrations on Amazon Bedrock

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