Jobs Companies Abby Care Tech Lead, Applied AI

Über diese Tech Lead, Applied AI Stelle bei Abby Care

Abby Care · Hybrid · San Francisco

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.

The Opportunity:

Abby Care is building an AI-native operating system for home-based care, spanning caregiver and patient intake, care delivery, billing, and compliance.

We are looking for an Applied AI Technical Lead to own the technical direction and delivery of a major Applied AI problem area. Reporting to the Director of Applied AI, you will lead a team of engineers in building production systems that automate complex healthcare workflows.

Depending on your area of ownership, these systems may determine intake qualification, interpret clinical documents, prepare prior authorization packets, assist caregivers and clinicians, coordinate operational work, or identify cases requiring human judgment.

This is a senior individual-contributor leadership role. You will set technical direction, lead execution, mentor engineers, and remain deeply hands-on in architecture and implementation.

This is a full-time hybrid role based in San Francisco, with four days per week in person.

What You’ll Work On:

  • Own the technical strategy and roadmap for a major Applied AI domain.

  • Translate ambiguous healthcare and operational problems into production-ready AI systems.

  • Architect and build agentic systems that reason over complex information, use internal tools, and execute workflows end to end.

  • Lead engineers through system design, implementation, evaluation, launch, and iteration.

  • Establish human-in-the-loop controls based on confidence, risk, reversibility, and regulatory requirements.

  • Build reusable capabilities for retrieval, orchestration, tool use, structured outputs, tracing, and feedback.

  • Define evaluation datasets, quality metrics, release thresholds, and production monitoring.

  • Partner closely with Product, Clinical, Operations, Analytics, and platform teams.

  • Mentor senior and junior engineers and raise the technical bar across the organization.

  • Contribute directly to architecture, prototyping, code, and critical production systems.

What Success Looks Like:

  • Your domain has a clear technical roadmap tied to measurable product and operational outcomes.

  • High-impact AI systems operate reliably in production.

  • Engineers on your team execute with clear technical direction and strong ownership.

  • AI autonomy is governed by explicit approval, escalation, and oversight mechanisms.

  • Performance is measurable through rigorous evaluation, monitoring, and feedback loops.

  • Your team contributes reusable capabilities that benefit the broader Applied AI organization.

What You’ll Have:

  • 8+ years of experience in software engineering, machine learning, or Applied AI.

  • Demonstrated experience technically leading the delivery of AI-powered products or platforms.

  • Strong hands-on experience with language models, agent architectures, retrieval, tool use, structured outputs, and evaluation.

  • Experience building systems over complex, incomplete, or unstructured real-world data.

  • Strong software engineering and system-design fundamentals, including backend systems, APIs, distributed systems, and data modeling.

  • Experience defining evaluation methodologies and production monitoring for probabilistic systems.

  • Experience leading technical projects and mentoring engineers.

  • Strong product judgment and ability to move from ambiguous problems to measurable outcomes.

  • Excellent communication and cross-functional collaboration skills.

  • Must reside in or be willing to relocate to the San Francisco Bay Area.

Preferred Qualifications:

  • Experience with fine-tuning, post-training, reinforcement learning, synthetic data, knowledge graphs, workflow engines, or state machines.

  • Experience in healthcare, fintech, insurance, or another regulated and operations-intensive industry.

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 First
    Redefining 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 Precision
    Millions 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 Resourceful
    As 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 Positivity
    We 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 Possible
    We 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 [email protected].

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Wie sich dieses Gehalt für Tech Lead vergleicht

Diese Stelle zahlt $250,000/yrim Einklang mit der üblichen Spanne für Tech Lead Stellen.

$175,000 dem Median $235,450 $330,220

Übliche Spanne $207,250–$293,500/yr, aus 135 vergleichbaren Tech Lead Anzeigen auf JobsRadar (Vergütung auf USD hochgerechnet). Gehaltseinblicke für Tech Lead ansehen →

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