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 annual company performance bonus. 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 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?” 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 . 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. 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. 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.