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Abby Care

Senior Applied AI Engineer

Abby Care

. Own high-impact AI systems end to end, from workflow discovery and technical design through production deployment, iteration, and measurable outcomes .

Posted 10/15/2026full-timeSan Francisco • California • United StatesSenior💰 $220,000 - $270,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in building and operating AI systems within healthcare workflows, focusing on technical design, production deployment, and iterative improvement. Proficient in mentoring engineers and integrating AI capabilities across cross-functional teams while ensuring effective communication of complex concepts.

Highest-signal resume keywords
5+ Years Software Engineering ExperienceAI System DevelopmentLanguage Models and Retrieval SystemsMentoring EngineersHealthcare Workflow Integration

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Machine LearningApplied AIBackend SystemsData ModelingModel Fine-TuningProbabilistic Systems EvaluationAPIsTestingObservabilitySynthetic Data Generation
Soft Skills
Complex Problem SolvingCross-Functional CollaborationTechnical CommunicationJudgment in AI ApplicationLeadership
Tools & Technologies
Model APIsAgent ArchitecturesWorkflow EnginesState MachinesDocument IntelligenceKnowledge GraphsOntologies
Industry Keywords
HealthcareFintechInsuranceRegulated EnvironmentOperations-Intensive Environment

About the role

Key responsibilities & impact
  • Own high-impact AI systems end to end, from workflow discovery and technical design through production deployment, iteration, and measurable outcomes
  • Build reliable agents and copilots that reason over structured and unstructured data, use internal tools, and execute multi-step workflows
  • Design systems for incomplete information, conflicting evidence, changing requirements, and operational edge cases using models, retrieval, rules, state machines, and human oversight
  • Build evaluation datasets, evaluation harnesses, production tracing, confidence-based escalation, and systematic error-analysis processes
  • Integrate AI capabilities into complete workflows with Product, Design, Clinical, Operations, Analytics, Platform, and System of Record engineers
  • Contribute reusable platform capabilities and architectural decisions
  • Mentor engineers and improve Applied AI development and operations
  • Develop production AI systems for healthcare workflows including clinical documentation, evidence interpretation, prior authorization, nursing visit assistance, billing risk identification, and operational follow-up

Requirements

What you’ll need
  • 5+ years of professional software engineering, machine learning, or Applied AI experience
  • Experience building and operating AI- or machine-learning-powered systems in production
  • Strong hands-on experience with language models, retrieval systems, structured generation, model APIs, or agent architectures
  • Strong software engineering fundamentals, including backend systems, APIs, data modeling, testing, and observability
  • Experience designing evaluations and analyzing the behavior of probabilistic systems
  • Ability to own ambiguous, cross-functional problems through implementation and iteration
  • Judgment about where AI is appropriate and where deterministic approaches or human review are required
  • Ability to communicate complex technical concepts to technical and nontechnical partners
  • Experience mentoring engineers, leading technically complex projects, or influencing architectural decisions
  • Must reside in or be willing to permanently relocate to the San Francisco Bay Area
  • Experience with model fine-tuning, post-training, reinforcement learning, synthetic data generation, multimodal models, document intelligence, knowledge graphs, ontologies, workflow engines, or state machines is preferred but not required
  • Experience in healthcare, fintech, insurance, or another regulated and operations-intensive environment is preferred but not required

Benefits

Comp & perks
  • Competitive compensation packages
  • Medical, dental, and vision coverage, including a $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 all 401(k) account fees; employer match not currently offered
  • Paid parental leave
  • Equity