Applied AI Engineer
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Applied AI Engineer
Location
San Francisco
Experience
Mid
Posted
Jul 18, 2026
Apply by
August 17, 2026
Applicants
0
Early applicantEasy applyFull-timeWork from Home
Job Description
## About Abby Care: Powering the future of care at home for all of America.
Abby Care is building the leading AI-native platform for family-led care. America is facing a growing care crisis. Millions more people need care at home than ever. Over 50 million family caregivers support loved ones without the tools, training, or recognition they deserve.
We believe families are the largest untapped caregiving workforce in America, and that technology can help them deliver better care while driving stronger outcomes and greater transparency across the healthcare system.
Abby Care combines clinical oversight with an AI-powered platform to train, enable, and support family caregivers in delivering high-quality care at home. Our platform helps health plans and government partners better understand, verify, and improve care in the home. We expand access to care, reduce reliance on higher-cost settings, and help ensure public dollars are spent effectively.
We are proud to partner with leading health plans, providers, and community organizations and are backed by top VCs. We envision a future where family-led care is a core part of the healthcare system. Abby Care is building that future.
Join us in solving one of the most important challenges of our time.
## What you’ll work on
Build AI-powered products and automation: Develop agents, copilots, and intelligent workflows that help caregivers, clinicians, and operational teams deliver better care at scale.
Develop production systems: Build the backend services, APIs, data pipelines, integrations, and reusable AI components required to move solutions from prototype to reliable production use.
Work with complex healthcare information: Create systems that extract, retrieve, and reason over clinical documents, conversations, operational records, and other structured and unstructured data.
Evaluate and improve system quality: Build representative datasets, measure performance, analyze failures, and improve models, prompts, retrieval, tools, and workflow logic based on evidence.
Learn directly from users and operations: Partner with Product, Design, Clinical, and Operations to understand real workflows, identify edge cases, and rapidly iterate based on production feedback.
Contribute to strong engineering foundations: Write maintainable, well-tested code and help build shared capabilities for orchestration, tool use, structured outputs, monitoring, tracing, and evaluation.
## What success looks like
- You consistently ship AI-powered capabilities that solve real problems for caregivers, clinicians, and operational teams.
- Your work progresses from prototype to reliable production functionality rather than stopping at demonstration-stage experiments.
- The systems you build are supported by clear evaluations, monitoring, and documented limitations.
- You use production feedback and error analysis to improve system quality over time.
- You collaborate effectively with product engineers, domain experts, and operational users.
- You develop reusable components that accelerate future Applied AI work.
- You grow your ability to independently own increasingly complex projects and technical decisions.
- You build a strong understanding of when to use AI, deterministic software, or human review to produce the best outcome.
## What you’ll have
- 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.
- Experience with Python, agent architectures, retrieval-augmented generation, document intelligence, multimodal models, structured generation, model evaluation, monitoring, or prompt optimization is preferred but not required.
- Experience in healthcare, fintech, insurance, another regulated environment, a startup, or an operations-intensive business is preferred but not required.
## Benefits:
- Competitive compensation packages that reflect the value you bring. We reward our team for the impact of their work.
- Comprehensive health coverage that works for you. Choose from high-quality medical dental and vision options, including a $0 deductible PPO and a company-funded HSA, alongside employer-paid life and disability insurance.
- Generous paid time off. We provide policies that allow you to recharge along with 10 paid company holidays.
- Financial savings benefits to support your future. We support your financial well-being with HSA contributions, optional FSA and commuter benefits, and full coverage of all 401(k) account fees (employer match not currently offered).
- Paid parental leave to support your growing family. We provide paid leave, so you can focus on bonding and adjusting to life as your family grows.
## Our Values
1. Families FirstRedefining healthcare starts with how we treat the parents and children we serve. We go above and beyond for every family, building strong, lasting relationships. We continually ask ourselves, “Would we want this for our own families?”
2. Urgency with PrecisionMillions of families are waiting for care, and they cannot wait, therefore this is not your typical 9 to 5 job. We match their urgency with our own, delivering exceptional care without compromise. Here, speed and excellence go hand in hand.
3. Relentlessly ResourcefulAs an ambitious startup, we adapt quickly and make the most of limited time and resources. We solve challenges with creativity to deliver results without unnecessary complexity.
4. Purpose with PositivityWe take our mission seriously while never losing sight of the people behind the work. Respect, kindness, memes, and coffee make us stronger as a team and better for the families we serve.
5. Driven to Redefine What’s PossibleWe are here to make healthcare better, which means asking hard questions, challenging outdated systems, and finding smarter, more compassionate ways to deliver care.
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. We believe that these tools help ensure objective, data-based decisions during the hiring process, however, all Abby Care hiring decisions involve final human review and input. If you have questions or would like to request an alternative process, contact [talent@abbycare.org](mailto:talent@abbycare.org).
Key Responsibilities
- Develop agents, copilots, and intelligent workflows to support caregivers and clinicians.
- Build backend services, APIs, data pipelines, and reusable AI components for production use.
- Create systems to extract, retrieve, and reason over clinical documents and operational records.
- Build representative datasets, measure performance, and improve models and prompts based on evidence.
- Partner with Product, Design, Clinical, and Operations teams to understand workflows and iterate on feedback.
- Write maintainable, well-tested code and build shared capabilities for orchestration and monitoring.
Skills Required
Software engineeringMachine learningApplied AILanguage modelsMachine-learning modelsAI APIsBackend developmentAPIsData processingTestingProduction software systemsProblem solvingOwnershipCuriosityCommunicationCollaborationPythonAgent architecturesRetrieval-augmented generationDocument intelligenceMultimodal modelsStructured generationModel evaluationMonitoringPrompt optimization
Benefits
- Competitive compensation packages
- Comprehensive health coverage (medical, dental, vision)
- $0 deductible PPO
- Company-funded HSA
- Employer-paid life and disability insurance
- Generous paid time off
- 10 paid company holidays
- HSA contributions
- Optional FSA and commuter benefits
- Full coverage of 401(k) account fees
- Paid parental leave
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