Abby Care Logo

Abby Care

Applied AI Engineer

Sorry, this job was removed at 03:23 p.m. (PST) on Thursday, May 21, 2026
Hybrid
San Francisco, CA, USA
Hybrid
San Francisco, CA, USA

Similar Jobs

Yesterday
In-Office
San Francisco, CA, USA
Entry level
Entry level
Artificial Intelligence • Software • Generative AI
Design and implement evaluations for AI agents across voice, vision, and browser use. Build benchmarks, simulations, and scoring systems for customer-specific scenarios, then use evaluation findings to improve agent behavior, context, and underlying models.
Top Skills: Applied Machine LearningBrowser AutomationComputer VisionRealtime Voice Ai
Yesterday
In-Office
San Francisco, CA, USA
Entry level
Entry level
Aerospace • Artificial Intelligence • Robotics • Defense
Build production AI and agentic workflows combining physics-informed models, LLMs, VLMs, scientific data, retrieval, memory, tools, and deterministic rules. Develop secure, durable systems with permissions, auditability, human approval, evidence lineage, and recovery capabilities. Evaluate system performance for task success, groundedness, safety, latency, cost, and scientific validity. Partner with product and design teams to deliver customer-facing intelligence products supporting operational decisions.
Top Skills: Agentic WorkflowsAPIsAsynchronous ExecutionCloud And Edge ArchitecturesDatabasesLlmsMemory SystemsModel RoutingMultimodal SystemsPhysics-Informed ModelsRetrieval SystemsStructured GenerationVlmsWorkflow EnginesWorld Models
2 Days Ago
In-Office
Palo Alto, CA, USA
Senior level
Senior level
Artificial Intelligence • Legal Tech • Software • Generative AI
Develops data pipelines, entity and topic extraction, embeddings-based search, AI model fine-tuning, inference optimization, and APIs for enterprise legal and risk applications. Builds evaluation platforms and metrics to improve model, search, and algorithm quality. Requires expertise in LLMs, machine learning frameworks, programming, cloud-native development, scalable data pipelines, advanced search, CI/CD, and technical leadership.
Top Skills: AgileAPIsAWSAzureCi/CdData PipelinesEmbeddingsGoJavaLarge Language Models (Llms)PythonPyTorchScrumTensorFlow

About Abby Care

Making family care possible. At Abby Care, we are tackling one of the most important and unsolved challenges of our time: family caregiving.

Over 50 million Americans are family caregivers for loved ones without pay, tools, or support. Our mission is clear and ambitious: to train and employ family caregivers so they can get paid for the care they already provide at home.

Abby Care is building a tech-powered, family-first care platform to efficiently deliver care, improve health outcomes, and provide the best-in-class experience nationwide.

We are rapidly expanding our mission and looking for passionate team members to join. Abby Care has partnered with leading insurance plans, healthcare providers, and community organizations. We’re supported by top, mission-driven VCs to empower families throughout the country.

The Role

We’re looking for an experienced and driven individual to join us as a Applied AI Engineer. You will report to the VP, Head of Engineering. This is a full-time opportunity based in San Francisco, CA (4 days in-person)
Abby Care is reimagining family caregiving by building AI-native products that act as intelligent copilots for families and clinicians. In this role, you’ll design and build AI systems that help families navigate care, support clinicians in care delivery, and unlock entirely new models of home-based care. You’ll work hands-on with models and real-world clinical and operational data to invent what AI-assisted caregiving can look like, shaping the product roadmap and the future of care as a key early engineer.

Key Responsibilities:
  • Build AI-powered products from concept to production. You will own the end-to-end development of applied AI systems, from problem framing and model selection to implementation, evaluation, and deployment. This includes prototyping copilots and intelligent features, integrating models into production systems, and iterating based on real user feedback from families and clinicians.

  • Partner closely with cross-functional teams to apply AI to real-world care. You will collaborate with operations, clinical, compliance, product, and engineering teams to design AI solutions that are safe, trustworthy, and practical in highly regulated environments. You will help translate complex technical ideas into clear product capabilities that directly advance our mission.

  • Advance technical excellence in applied AI. You will deepen expertise in areas such as LLMs, agentic workflows, machine learning infrastructure, and data security, while also exploring new approaches to human-in-the-loop AI and clinical decision support. You’ll help set the bar for quality, safety, and innovation as we build next-generation AI systems in one of the most impactful and complex sectors in the U.S.

The Requirements:
  • 3+ years of non-internship professional experience in applied AI/ML engineering

  • Proven track record of working on AI/ML projects from concept to production

  • Experience with deploying AI models in production environments

  • Experience with cloud platforms such as AWS

  • Proficiency in Python

  • Bachelor's/Master’s/PhD degree in Computer Science or related field is preferred

  • Experience with the modern AI toolchain for data processing, orchestration, fine-tuning, and deployment is preferred

  • Experience with model evaluation and performance measurement is preferred

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.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account