Abby Care

About the Company

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.

Listed Jobs

Company Name

Abby Care

Job Title

Software Engineer

Job Description

**Job Title:** Software Engineer **Role Summary:** Design, develop, and maintain full‑stack web and API solutions that power a healthcare platform. Own end‑to‑end feature delivery, collaborate across product, operations, clinical, and compliance teams, and advance technical excellence in cloud, AI, and data security. **Expectations:** 2‑5 years of professional software development; strong command of Typescript and Python; experience with AWS or similar cloud platforms; proven ability to manage full lifecycle delivery; familiarity with product‑led development. Prior work in healthcare or startup environments is preferred. **Key Responsibilities:** - Own the development lifecycle from concept to launch, including scope definition, coding, testing, and deployment. - Collaborate with cross‑functional teams (operations, clinical, compliance, product) to translate real‑world problems into technical solutions. - Lead technical design discussions, conduct spikes, and implement scalable, secure architectures. - Write clean, maintainable code and unit/integration tests; perform code reviews. - Continuously improve engineering processes and adopt emerging technologies (AI, ML, cloud). - Communicate progress and risks to stakeholders clearly and proactively. **Required Skills:** - Full‑stack web development with Typescript and Python. - API design and implementation. - Cloud architecture using AWS (or equivalent). - Familiarity with CI/CD, containerization, and infrastructure as code. - Strong problem‑solving, debugging, and performance tuning abilities. - Effective communication and teamwork across diverse teams. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Software Engineering, or related field (preferred). - Professional certifications in cloud or software development are a plus.

San francisco, United states

On site

Junior

07-11-2025

Company Name

Abby Care

Job Title

Applied AI Engineer

Job Description

Job title: Applied AI Engineer Role Summary: Drive the end‑to‑end design, development, and deployment of AI‑powered caregiving products. Own model selection, prototyping, production integration, and continuous improvement based on user feedback. Expectations: Deliver production‑grade AI systems that are safe, trustworthy, and compliant with healthcare regulations. Translate complex ML concepts into clear product features and collaborate closely with cross‑functional teams. Lead technical excellence and drive innovation within a high‑impact, regulated domain. Key Responsibilities: - Define problems, select models, and build prototypes of AI copilots for families and clinicians. - Deploy, evaluate, and iterate models in cloud environments (AWS) with production monitoring. - Partner with operations, clinical, compliance, product, and engineering teams to ensure solutions meet safety, privacy, and regulatory standards. - Set standards for quality, safety, and innovation in applied AI initiatives. - Mentor junior engineers and drive continuous learning in LLMs, agentic workflows, and human‑in‑the‑loop systems. Required Skills: - 3+ years of professional experience in applied AI/ML engineering. - Proven track record of taking AI/ML projects from concept to production. - Experience deploying models in cloud (AWS) and integrating them into production pipelines. - Proficiency in Python and modern AI toolchains (data processing, orchestration, fine‑tuning, deployment). - Knowledge of model evaluation, performance measurement, and data security. - Familiarity with LLMs, agentic workflows, machine learning infrastructure, and clinical decision support. Required Education & Certifications: - Bachelor’s/Master’s/PhD in Computer Science, Electrical Engineering, Data Science, or related field (preferred). - Certifications in relevant cloud platforms (AWS) or AI/ML technologies are a plus.

San francisco, United states

Hybrid

Junior

06-01-2026