Staff Software Engineer, Applied AI Team

This is a fully remote position, open to applicants in United States.

📋 Description

• Take charge of application interfaces, including an embeddable widget, clinician portal, and Python service layer.

• Implement significant updates across the widget, portal, and service layer.

• Assume responsibility for major integrations or platform initiatives.

• Serve as the main reviewer for application-side design choices.

• Deliver comprehensive systems utilized by external teams.

• Guide potential junior engineers towards independent responsibility.

• Manage critical application tasks supporting the AI Intake system.

• Oversee encounter data flow and integrations with partner platforms.

• Be responsible for internal tools that benefit the engineering team and clinicians.

• Lead full-stack architectural decisions and pinpoint areas for enhancement.

• Collaborate with AI/ML engineers on the application layer concerning the conversation pipeline, prompts, and clinical safety layer.

• Release and version shared components while safeguarding consuming teams from breaking changes.

• Maintain existing dependencies and manage production systems.

⛳️ Requirements

• Over 6 years of professional full-stack web software experience, including at least 1 year in a Staff capacity and working with architecture you designed.

• Proficiency in TypeScript and React.

• Expertise in a modern server-rendered framework, specifically Next.js.

• Strong experience in Python, particularly with an async web framework.

• Knowledge of relational schema design, migrations, and caching.

• Experience in building versioned dependencies for other teams, such as widgets, SDKs, or component libraries.

• Proficiency in LLM application development, including prompts, evaluations, and cost considerations.

• Healthcare experience involving PHI, HIPAA, clinical workflows, or patient-facing surfaces with significant safety implications.

• Familiarity with agent or workflow orchestration frameworks like LangGraph.

• Experience in designing for accessibility and internationalization.

• Background in AWS, particularly Bedrock, and infrastructure-as-code.

• Experience with evaluation tooling such as Braintrust, LangSmith, or custom-built alternatives.

• Experience as one of the first engineers on a greenfield product.

• Ability to mentor junior engineers and work collaboratively with data scientists and cross-functional partners.

🏝️ Benefits

• Medical insurance

• Dental insurance

• Vision insurance

• Unlimited PTO

• 401(k) plan

• Stock options

• Bonuses

• Remote work