Applied AI Engineer

What you’ll build

You’ll develop intelligent agents, copilots, and workflows that help caregivers, clinicians, and operational teams deliver better care at scale. The role includes backend integrations, data pipelines, and systems that extract, retrieve, and reason over healthcare information from clinical documents, conversations, and operational records.

Responsibilities

• Design and build agents, copilots, and intelligent workflows that support caregivers, clinicians, and operational teams.
• Create backend services, APIs, data pipelines, integrations, and reusable AI components to take solutions from prototype to dependable production use.
• Build systems that extract, retrieve, and reason over clinical documents, conversations, operational records, and other structured and unstructured data.
• Develop representative datasets, measure performance, analyze failures, and improve models, prompts, retrieval, tools, and workflow logic based on evidence.
• Partner with Product, Design, Clinical, and Operations to understand real workflows, identify edge cases, and iterate quickly using production feedback.
• Write maintainable, well-tested code and help build shared capabilities for orchestration, tool use, structured outputs, monitoring, tracing, and evaluation.

Requirements

• 2+ years of professional software engineering, machine learning, or Applied AI experience (or equivalent demonstrated ability).
• Strong programming skills and software engineering fundamentals.
• Experience building applications using language models, machine-learning models, or modern AI APIs.
• Familiarity with backend development, APIs, data processing, testing, and production software systems.
• Ability to structure ambiguous problems, test assumptions, and iterate based on evidence.
• Interest in building evaluations and understanding why AI systems succeed or fail.
• Strong ownership and curiosity, with willingness to engage directly with users and operational workflows.
• Clear written and verbal communication skills.
• Must reside in or be willing to permanently relocate to the San Francisco Bay Area.

Technologies

• Python
• Language models
• Machine-learning models
• Modern AI APIs

Benefits

• Competitive compensation packages
• Comprehensive health coverage, including high-quality medical, dental, and vision options, a $0 deductible PPO, and a company-funded HSA
• Employer-paid life and disability insurance
• Generous paid time off and 10 paid company holidays
• HSA contributions, optional FSA and commuter benefits, and full coverage of all 401(k) account fees (employer match not currently offered)
• Paid parental leave

Values

• Families First
• Urgency with Precision
• Relentlessly Resourceful
• Purpose with Positivity
• Driven to Redefine What’s Possible

What success looks like

• Consistently ship AI-powered capabilities that solve real problems for caregivers, clinicians, and operational teams.
• Move work from prototype to reliable production functionality, not stop at demonstration-stage experiments.
• Support systems with clear evaluations, monitoring, and documented limitations.
• Use production feedback and error analysis to improve system quality over time.
• Collaborate effectively with product engineers, domain experts, and operational users.
• Develop reusable components that accelerate future Applied AI work.
• Independently own increasingly complex projects and technical decisions.
• Build strong judgment about when to use AI, deterministic software, or human review for the best outcome.

Automated decision tools

Abby Care may use automated decision tools to help match and rank candidate work experience, education, and skills found in online profiles, resumes, and job applications against job requirements. All hiring decisions involve final human review and input. If you have questions or want an alternative process, contact [email protected].