Applied AI Engineer

Applied AI Engineer role at Abby Care in San Francisco (hybrid), focused on turning real-world care operations into AI-powered products and workflow automation.

Responsibilities

• Develop agents, copilots, and intelligent workflows that support caregivers, clinicians, and operational teams delivering care at scale
• Build backend services, APIs, data pipelines, integrations, and reusable AI components to move solutions from prototype to reliable production
• Create systems to extract, retrieve, and reason over clinical documents, conversations, operational records, and other structured and unstructured data
• Construct 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 workflows, uncover edge cases, and iterate quickly using production feedback
• Write maintainable, well-tested code and contribute shared capabilities for orchestration, tool use, structured outputs, monitoring, tracing, and evaluation
• Own end-to-end delivery activities including understanding workflows, prototyping solutions, preparing datasets, building evaluations, implementing production systems, and learning from real-world usage
• Collect and interpret clinical documents; automate intake and prior authorization work; assist caregivers and nurses; detect operational and billing risks; route exceptions to the right person

Requirements

• 2+ years of professional software engineering, machine learning, or Applied AI experience, or equivalent demonstrated ability
• Strong programming skills and solid 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, including 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
• AI APIs
• Agent architectures
• Retrieval-augmented generation
• Document intelligence
• Multimodal models
• Structured generation
• Model evaluation
• Monitoring
• Prompt optimization

Benefits

• Competitive compensation packages reflecting value
• Comprehensive health coverage with $0 deductible PPO and a company-funded HSA, plus employer-paid life and disability insurance
• Generous paid time off, including 10 paid company holidays
• Financial savings benefits including HSA contributions, optional FSA and commuter benefits, and full coverage of all 401(k) account fees (employer match not currently offered)
• Paid parental leave

Success Looks Like

• Shipping AI-powered capabilities that solve real problems for caregivers, clinicians, and operations teams
• Moving work from prototype to reliable production functionality, not limiting output to demos
• Building systems backed by evaluations, monitoring, and documented limitations
• Improving system quality through production feedback and error analysis
• Collaborating effectively with product engineers, domain experts, and operational users
• Developing reusable components that accelerate future Applied AI work
• Increasing independent ownership of complex projects and technical decisions
• Choosing between AI, deterministic software, or human review to achieve the best outcome

What You’ll Have (Preferred)

• Experience with Python, agent architectures, retrieval-augmented generation, document intelligence, multimodal models, structured generation, model evaluation, monitoring, or prompt optimization (preferred but not required)
• Experience in healthcare, fintech, insurance, another regulated environment, a startup, or an operations-intensive business (preferred but not required)

Values

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

Location: San Francisco, CA (hybrid)
Salary: USD 175,000 - 235,000 per year
Experience: 2+ years