Senior AI/ML Product Engineer — Remote Health Tech

Dovetail Health; Boston (MA); Remote; USD 185,000 - 317,000; Full time

Benefits offered by this job

Comprehensive benefits package

Incentive and recognition programs

Equity stock purchase and 401k

Job summary

Optum is building a small, cross-functional AI/ML engineering team within the AI & Product Office. You will design, deploy, and evaluate AI-enabled products, integrating with EHRs and care systems across markets, while shaping enterprise platform decisions.

Remote-friendly within the U.S.; some markets require in-office presence. The role emphasizes hands-on coding, end-to-end product development, and strong collaboration with product, design, clinical, and operations partners to improve health

Qualifications

• 10+ years of professional software engineering experience shipping and operating production systems.
• Experience in the healthcare industry and/or within a large, complex, matrixed organization.
• Full-stack experience: backend services, APIs, and data stores, and enough front-end or mobile to ship a complete product without waiting on another team.
• Experience building and shipping a large language model application or agent to real users, and can explain how it was evaluated.
• Ability to use AI coding and agent tools in your own work every day, and has built with them: an agent, automation, or large language model tool you designed, built, and ran, at work or as a personal project.
• Demonstrated solid testing and operational discipline: automated tests, continuous integration, observability, and on-call ownership of what you ship.
• Experience with owned cloud infrastructure and deployment for a production system: infrastructure as code, continuous integration and deployment, and security controls that pass an enterprise review.
• Ability to work at the enterprise level and at a single market's level, and to tell which one a given decision belongs to.
• Demonstrated clear writing skills: design decisions and findings on this team are written down where the next engineer will find them.
• Ability working proficiency in GitHub, AI coding and agent tools, cloud platforms, and infrastructure as code.
• Experience as a senior individual contributor, hands-on: writes production code every day and owns hard problems end to end, working across functions to deliver them.
• Ability to be a technical owner of a system other engineers built on, including its architecture and the decisions that were hard to reverse.

Responsibilities

• Build & Deploy: Design, build, test, and deploy production software end to end, from backend services and data pipelines to the interfaces care teams and patients use.
• Own how the team deploys: cloud infrastructure as code, continuous integration and deployment, environments, and release practices safe for software that touches patient care.
• Build integrations that read from and write to electronic health records and care systems, including Epic, athenahealth, eClinicalWorks, and home care platforms, using FHIR, HL7, and vendor APIs, in partnership with the teams that own those systems.
• Build AI agents and large language model features across channels (SMS and voice) with prompt/tool design, retrieval, and guardrails.
• Prototype against real systems in days, and take what works to production.
• Build the shared foundation the team builds on with great Optum Health engineering teams: integrations, the deployment pipeline, and the evaluation harness.
• Evaluate & Operate: Build evaluation into the product from the start: automated evaluations of model and agent behavior, tests that fail when behavior breaks, and monitoring for drift after launch.
• Operate what you ship: instrumentation, alerting, incident response, and continuous improvement after launch.
• Define "done" as proven: a change is complete when there is evidence it works, not when the code is merged.
• Partner with technology, data, security, legal, privacy, compliance, care teams, and other stakeholders to deliver products that are responsible, secure, and enterprise-ready, protecting patient data by design.
• Partner & Multiply: Work with Optum Health engineering teams to accelerate and augment each other's work, and write the documentation, tests, and runbooks another team needs.
• Set the team's engineering practices, including code review, AI-assisted development, and the evaluation standard, and improve them as the team grows.
• Determine which technical decisions belong to a market vs the enterprise platform, and build accordingly.
• Write down learnings weekly for governance and decisions.
• Raise the AI fluency of market teams by contributing to shared templates and safe shipping methods.
• Own the team's technical architecture and the decisions that are expensive to reverse.

Skills

Software engineering

Full-stack

AI/ML

CI/CD

Security & privacy

Technical writing

Enterprise collaboration

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

GitHub

Cloud platforms

Infrastructure as code

AI tooling

Job description

Optum is building a small, cross-functional AI/ML engineering team within the AI & Product Office. You will design, deploy, and evaluate AI-enabled products, integrating with EHRs and care systems across markets, while shaping enterprise platform decisions.

Remote-friendly within the U.S.; some markets require in-office presence. The role emphasizes hands-on coding, end-to-end product development, and strong collaboration with product, design, clinical, and operations partners to improve health