Applied AI Engineer
Job Description
Abby Care is hiring an Applied AI Engineer in San Francisco, CA (onsite) to build AI-powered products and production-ready systems that support caregivers and clinical and operational teams. The role focuses on developing agents and workflows, integrating data pipelines and backend services, and improving model and system quality through evaluation and production feedback.
Responsibilities
- Develop agents, copilots, and intelligent workflows that help caregivers, clinicians, and operational teams deliver better care at scale.
- Build backend services, APIs, data pipelines, integrations, and reusable AI components to move solutions from prototype to dependable production use.
- Create systems that extract, retrieve, and reason over clinical documents, conversations, operational records, and other structured and unstructured data.
- Build 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, curiosity, and 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
What Success Looks Like
- Consistently ship AI-powered capabilities that solve real problems for caregivers, clinicians, and operational teams.
- Progress from prototype to reliable production functionality rather than stopping at demonstration-stage experiments.
- Deliver systems supported by 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 for when to use AI, deterministic software, or human review to produce the best outcome.
Our Values
- Families First
- Urgency with Precision
- Relentlessly Resourceful
- Purpose with Positivity
- Driven to Redefine What’s Possible
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 Abby Care hiring decisions involve final human review and input.
- If you have questions or would like to request an alternative process, contact [email protected].
Compensation Range
USD $165,000 - $220,000 per yearly.