Senior Applied AI Engineer

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.

Company Mission

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 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 a best-in-class experience nationwide. We are backed by top mission-driven investors and are building a high-caliber team across technology, operations, and healthcare.

The Role

At Abby Care, we are building AI-powered technology designed to transform care delivery and seamlessly scale complex healthcare operations. We are focused on creating measurable impact for caregivers, families, and internal teams through robust, intelligent systems.

We’re looking for a Senior Applied AI Engineer to build production-grade AI systems that automate and augment critical workflows across the organization. This is a hands-on, zero-to-one engineering role focused on translating ambiguous operational problems into reliable, secure, and highly scalable AI solutions. You will report to the Head of Engineering and work closely with Engineering, Product, Design, Data, and Operations.

You will own the end-to-end lifecycle of our customer-facing AI products. To ensure these solutions are practical and impactful, you will collaborate closely with Product, Design, Data, and Operations, effectively bridging the gap between complex technical tradeoffs and real-world care delivery.

Key Responsibilities

• Zero-to-One Architecture: Drive the full product lifecycle of applied AI systems—from problem framing and model selection to robust implementation, automated evaluation, and scalable production deployment.

• Engineering Leadership: Act as the definitive technical lead for your product areas. Mentor engineers, conduct rigorous code reviews, and elevate the team's shipping velocity and engineering standards.

• Cross-Functional Strategy: Collaborate closely with product, operations, clinical, and compliance teams to ensure AI solutions are safe, trustworthy, and practical for real-world care applications.

Requirements

• Professional Experience: 5+ years of non-internship experience in software engineering and applied AI/ML engineering, with a proven track record of shipping products from concept to production.

• Core Languages & Infrastructure: High proficiency in Python and extensive experience operating within modern cloud platforms (e.g., AWS).

• Applied AI Tooling: Deep, hands-on experience deploying, monitoring, and scaling LLM applications. Must possess strong expertise in:

  • RAG architectures and agentic workflows

  • Model fine-tuning and automated performance measurement

  • Data processing and orchestration workflows

  • Human-in-the-loop AI pipelines

Preferred

• Security: Demonstrated ability to establish best practices for data security, particularly designing privacy guardrails for LLMs.

• Compliance: Experience in highly regulated environments or healthcare data compliance (e.g., HIPAA, SOC2) is highly desirable.

• Education: Bachelor’s, Master’s, or PhD in Computer Science or a related technical discipline.

Benefits

• Competitive compensation packages that reflect the value you bring. We reward our team for the impact of their work – full-time employees are eligible for an an