Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Abby Care

Applied AI Engineer

Abby Care

Applied AI Engineer building reliable AI products and workflow automation for Abby Care’s family-led home-care platform. Developing production systems for caregivers, clinicians, and operations teams.

Posted 9/10/2026full-timeSan Francisco • California • 🇺🇸 United StatesJuniorMid-Level💰 $175,000 - $235,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing AI-powered applications and backend services, with a strong focus on machine learning, data processing, and system evaluation. Capable of collaborating with cross-functional teams to enhance operational workflows and deliver reliable production solutions.

Highest-signal resume keywords
Software Engineering FundamentalsMachine Learning ExperiencePython ProgrammingAPI DevelopmentData Processing

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

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

Hard Skills
Software EngineeringMachine LearningAI APIsBackend DevelopmentData PipelinesModel EvaluationDocument IntelligenceRetrieval-Augmented GenerationStructured GenerationPrompt Optimization
Soft Skills
Clear CommunicationOwnershipCuriosityProblem StructuringUser Engagement
Industry Keywords
HealthcareFintechInsuranceRegulated EnvironmentOperations-Intensive Business

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • Develop agents, copilots, and intelligent workflows for caregivers, clinicians, and operational teams
  • Build backend services, APIs, data pipelines, integrations, and reusable AI components for reliable production use
  • Create systems that extract, retrieve, and reason over clinical documents, conversations, operational records, and structured and unstructured data
  • Build representative datasets, measure performance, analyze failures, and improve models, prompts, retrieval, tools, and workflow logic
  • Partner with Product, Design, Clinical, and Operations to understand workflows, identify edge cases, and iterate from production feedback
  • Write maintainable, well-tested code
  • Build shared capabilities for orchestration, tool use, structured outputs, monitoring, tracing, and evaluation
  • Ship AI-powered capabilities that solve real problems and progress from prototype to reliable production functionality
  • Use evaluations, monitoring, error analysis, and documented limitations to improve system quality
  • Develop reusable components and independently own increasingly complex projects and technical decisions
  • Determine when to use AI, deterministic software, or human review for the best outcome

Requirements

What you’ll need
  • 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
  • Employment contingent upon successful completion of a background check, satisfactory references, and any required documentation

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