Staff Developer, Fullstack AI

Essential Functions

• Own the agent experience across chat and voice interaction, streaming responses, conversation history, and model-generated titles and summaries.
• Make model reasoning legible by surfacing tool calls, citations, intermediate steps, and uncertainty.
• Build low-latency, real-time experiences over WebSockets and streaming APIs that stay responsive under clinical conditions.
• Render dynamic model output into on-the-fly charts, tables, and structured clinical summaries.
• Partner with the CIE and orchestration team to expose tiered model routing, skills, and reasoning in ways users can trust and act on.
• Embed AI into HopperOS workflows, including documentation and ambient-scribe surfaces, inline suggestions, and natural-language query over clinical and operational data.
• Build against Hopper’s data contracts, including the FHIR API surface and Athena-integrated clinical data.
• Ship the rich, interactive product surfaces where interactivity clearly adds value.
• Craft, evaluate, and iterate on fullstack quality for AI features, including streaming UX, performance, accessibility, and responsiveness across desktop and point-of-care tablet and mobile.
• Close the loop with evals by measuring the quality of generated UI and agent responses.
• Work forward-deployed with real clinician and operations users, incorporating feedback into design and build-out.

Education & Certifications

• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
• Equivalent professional experience will be considered.
• Certifications in cloud, AI/ML, or modern web development preferred.

Experience

• 5+ years building and shipping production web frontends or fullstack products, ideally with 0-to-1 ownership.
• Hands-on AI product experience building chat or agent UIs, tool-calling, streaming responses, and app-layer context and prompt management.
• Experience turning structured and unstructured model output into UI that is dynamic, legible, and trustworthy.
• Familiarity with healthcare or clinical software experience, including familiarity with FHIR/HL7 or EHR integration (e.g., Athena).

Knowledge

• Systems-level UX judgment, with the ability to reason about latency, failure modes, and safety in AI experiences.
• Familiarity with agent architectures and tool-calling systems end to end.
• Knowledge of LLM evaluation tooling (e.g., Braintrust) and voice interfaces.
• Understanding of ML and LLM model development; curiosity about Elixir/Phoenix or computer vision a plus.

Skills & Abilities

• Strong product instincts, comfortable prototyping live with users and shipping feedback within days.
• A feel for the model boundary between raw model output and trustworthy, legible UI.
• Strong collaboration across clinical, product, and engineering stakeholders.
• Adaptability to work in a fast-paced, greenfield environment and go deep in whatever stack the problem needs.