[Hiring] Senior Engineer, AI Developer Platform @b.well

Role Description

AI is changing how software gets built, and we want b.well’s engineering organization to be among the teams that do it well: faster delivery, without trading away quality, security, or reliability. We’re hiring a Senior Engineer to help build the platform that makes that possible.

You’ll join the team that owns the internal AI developer platform every engineering team builds on. That means agentic workflows embedded in our software development lifecycle, the context and cost controls that keep them efficient, the guardrails that keep them safe, and the evals and metrics that tell us whether they’re actually working. Your customers are b.well’s engineers, and your job is to make the AI-native path the easiest path.

This is a hands-on role. You’ll take workflows and platform components from idea to production, own them once they’re live, and work directly with the engineers who use them. You’ll work alongside our Staff Engineer, who sets technical direction for the platform, and you’ll have real ownership over the pieces you build. The hard problems here are less about getting an agent to work once and more about making agents dependable, measurable, affordable, and safe across a whole engineering organization.

This role is focused on engineering productivity and quality. AI features in our customer-facing products are owned by other teams.

Qualifications

• Solid platform or developer-tooling engineering experience.
• Experience building and shipping at least one agentic or LLM-powered workflow.
• A habit of measuring AI workflows and adjusting based on findings.
• Good security judgment for systems that act on their own.
• Care for sensitive data and understanding of data flow.
• Practical foundations in CI/CD, cloud infrastructure, and observability.
• Clear communication and a collaborative style.
• Fluency with AI coding tools like Claude.

Requirements

• Built eval harnesses or regression suites for LLM-based workflows.
• Hands-on LLM cost work: caching, routing, budgets, or showback.
• Built MCP servers or shared tooling used by multiple teams.
• Exposure to engineering productivity measurement such as DORA, SPACE, or DX Core 4.
• Agent observability and tracing experience.
• Experience in healthcare or another regulated industry.

Benefits

• Target salary range: $175,000 - $225,000.
• Competitive total rewards package including stock options, benefits, and incentive pay.
• Annual review of employee pay and compensation programs.

Company Description

b.well is solving healthcare’s fragmentation problem with our FHIR-based health data management platform. The platform connects data from EHRs, wearables, portals, and other sources, while our intelligence engine personalizes the consumer experience. By simplifying the complex healthcare ecosystem, we make it easy and convenient for consumers to engage and take action—whether it’s scheduling care, setting reminders, accessing health data, and more.

For our clients, this means better health outcomes, operational efficiency, and stronger consumer engagement.