AI Software Engineer

Cityblock Health

1d•Hybrid

About The Position

We are looking for an Engineer to add substantial value to Cityblock’s technology platform used by our care providers and Members. Our work is centered on supporting outreach to patients, capturing data on their medical, behavioral, and social needs, and then integrating that with homegrown and external applications to enable personalized care for our members. You will join our Engineering team which works closely with our design, product management, data science, and clinical operations teams to create a digital product experience tailored to our Member’s needs. Our existing applications generally use: Typescript, Node.js, PostgreSQL, and dbt for our data transformation layer, hosted on Google Cloud Platform (GCP). In addition to leveraging React and GraphQL for internal applications, our engineers integrate third party platforms and data sources via FHIR to provide a seamless experience for our care teams and clinical providers. We embrace AI-assisted software development as a core part of how we build. Our engineers use tools like Cursor and Claude Code daily to accelerate development, write higher-quality code, refactor complex systems, and ship features faster. We’re looking for engineers who are excited to work alongside AI tooling—thoughtfully directing these tools, reviewing their output critically, and using them to multiply their impact across the stack. We are looking for someone with experience working across the full stack and comfort with querying and analyzing data to drive decisions. If you want to solve complex problems, grow a talented pool of engineers, and are an amazing teammate, we want to hear from you!

Requirements

6+ years experience writing production code.
At least 2+ years experience leading members of an engineering team.
Invigorated by the complexities of building great health tech.
Process-oriented mindset, and comfortable writing and debating around design documents.
Enjoy working across the stack and building features end-to-end.
Hands-on experience using AI coding assistants (such as Cursor, Claude Code, Copilot, or similar) as part of your daily workflow, and have developed good judgment about when to rely on them and when not to.
Passion for doing mission-oriented work.
Enjoy working with a diverse group of people with different expertise.

Responsibilities

Design, build, and implement population health management tools and cloud infrastructure.
Leverage AI-assisted development tools (Cursor, Claude Code) to accelerate feature delivery, improve code quality, and tackle complex refactors—while maintaining rigorous standards for correctness and maintainability.
Build and maintain data models in dbt to power analytics, reporting, and downstream applications that inform clinical care.
Integrate third party platforms via API and surface data to our users.
Query and analyze data to inform architectural decisions and system design.
Write and review code up and down the stack as needed, including reviewing AI-generated code with a critical eye.
Ensure we are using industry best practices for producing reliable software that works beautifully.
Write clean, well-tested code that will stand the test of time.
Participate in creating and maintaining strict compliance, data privacy, and security measures.
Help recruit highly capable engineers to the team from diverse backgrounds.
Mentor engineers and new team members—including sharing best practices for effective AI-assisted development—and apply technical expertise to help others grow, while continuously upgrading your own skills and thinking as an engineer.
Collaborate with our clinical teams, product managers, and designers to build features that are highly efficient to support field-based operations and engage patients.