Senior AI Software Engineer

Job summary

Job Description: Cityblock is putting AI directly into the hands of the care teams and members we serve. You are a full-stack product engineer who takes an AI-native idea from a rough prototype to a feature running in production, in front of real clinical users, and you contribute to the prototyping loop that lets product and design move at that speed.

Benefits

Qualifications

• for the Role
• 4+ years of experience as an engineer
• You are a strong full-stack product engineer who ships.
• You solve problems by building working software.
• Experience integrating LLM APIs or SDKs into a shipped product, or closely related production experience you can build on.
• Strong product sense: you care about whether people use your products and whether they provide measurable value.
• Comfort owning ambiguity by taking a well-scoped, high-value idea and turning it into something real, with decreasing guidance over time.
• Experience building evals or quality measurement for AI features, or the clear instinct that you need to.
• Fluent daily use of AI assistants for engineering, with a clear sense of when to trust them and when not to.
• Drawn to mission-oriented work, and comfortable partnering with clinical and design experts whose expertise differs from yours.
• Nice to Have
• A CS degree or equivalent.

Responsibilities

• Implement full-stack feature work that integrates LLM APIs and SDKs into member- and care-team-facing product surfaces.
• Own features end to end: system design, model/SDK integration, evals, and the UX that determines whether the feature is actually trusted and used.
• Build observability and evals alongside the feature, so quality can be measured and then improved.
• Apply and help improve the team's prototyping loop, eval discipline, and quality bar through the work you ship.
• Put prototypes in front of real users early, learn from what breaks, and harden the ones worth keeping into production.
• Bring an honest read of what's feasible back to product and design, so the roadmap reflects reality.
• Work with product management, design, and clinical operations to find and understand the high-value AI opportunities behind the features you build.
• Partner with the data organization for the grounded, trustworthy context your features depend on.

Degrees

Work schedule

Industry