Applied AI Engineer

Abby Care

. Develop agents, copilots, and intelligent workflows for caregivers, clinicians, and operational teams .

Posted 10/15/2026full-timeSan Francisco • California • United StatesJuniorMid-Level💰 $175,000 - $235,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing AI solutions, backend services, and APIs while effectively collaborating with cross-functional teams to enhance operational workflows. Proficient in analyzing and improving AI models and systems through rigorous testing and performance evaluation.

Highest-signal resume keywords

Software EngineeringMachine LearningPython ProgrammingAPI DevelopmentData Processing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software Engineering FundamentalsMachine Learning ModelsAI APIsBackend DevelopmentData PipelinesModel EvaluationDocument IntelligenceRetrieval-Augmented GenerationStructured GenerationPrompt Optimization

Soft Skills

Clear CommunicationCuriosityOwnershipProblem StructuringUser Engagement

Tools & Technologies

AI ComponentsMonitoring ToolsTracing SystemsEvaluation Frameworks

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
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
Progress AI solutions from prototype to reliable production functionality
Use production feedback and error analysis 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

Benefits

Comp & perks

Competitive compensation packages
Medical, dental, and vision insurance options, 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