Software Engineer, Agents

ABOUT US We are fixing US healthcare by building an AI-native physical care platform, starting with home health. Home health is a $140B industry with less than $10B in EBITDA — 40% of revenue is spent on pure administrative waste. We automate this work with AI, creating a fundamentally different cost structure compared to incumbents. This lets us rapidly take market share by serving the 30% of patients who go untreated today. By reshaping the cost structure of this industry, we unlock its growth. We’ve built one of the best AI teams in the world (from Character AI, Scale, Palantir, Citadel, Jane Street) and paired them with a team of healthcare veterans and ex-MBB strategists to build a new type of healthcare company: one that delivers care at the speed of an AI company. Our physical care platform already operates with 30pp higher gross margins than traditional home health providers. With our AI advantage, we pay nurses more, remove their admin burden, and unlock the scale economics that have been missing from this fragmented industry. If we served this entire $140B market, instead of $10B in EBITDA, we’d drive $60B. We're starting with home health, then expanding to all delivered care. Our mission is “any care, any where”. Fundamentally, our incentives are aligned with America. Every dollar in revenue we make is two dollars taken out of the healthcare system. If we succeed, so does US healthcare. OUR STACK We build on a modern, production-grade foundation: Python, Django, PostgreSQL, and Redis on the backend, React and TypeScript on the frontend, and AWS, GCP, Docker, Kubernetes, and Temporal for infrastructure. Our AI/ML layer includes Claude and custom LLM integrations, agentic tooling, ambient scribing, and AI form-filling engines. We use Sentry for observability and GitHub with CI/CD pipelines and comprehensive testing frameworks for development. ABOUT THE ROLE We're hiring a Software Engineer, Agents to design and build the AI agents that power our automation platform. You'll work across domains such as intake, clinical documentation, and revenue cycle management, translating real-world processes into scalable, reliable agentic workflows running in production, not prototypes. A successful Software Engineer, Agents at Adaptive Innovations is analytical, resourceful, and comfortable working across product, data, and infrastructure layers. You'll have significant ownership and the opportunity to shape both the technical architecture and product outcomes that define how our teams operate. Over time, you'll take end-to-end ownership of a domain: setting the technical vision, owning the roadmap, and leading engineering execution from initial build through deployment and continuous iteration. RESPONSIBILITIES - Design, build, and deploy AI agents that automate operational workflows across intake, charting, and revenue-cycle operations. - Collaborate closely with the Product team and engineering peers to translate complex operational processes into reliable, scalable technical systems. - Prototype and iterate quickly, validating ideas through production feedback and measurable impact rather than lengthy specs. - Instrument and monitor live systems, tracking metrics like accuracy, latency, and throughput to guide performance improvements. - Ensure quality, reliability, and compliance, embedding observability, audit trails, and HIPAA safeguards into every deployment. - Contribute to shared architecture and technical direction, helping scale our automation platform across multiple operational domains. BASIC QUALIFICATIONS - Technical Experience: 3–5 years of software or product-engineering experience in a high-growth or fast-changing environment. - Engineering Expertise: Strong foundation in backend or full-stack development, including APIs, data modeling, and system design. Familiarity with cloud platforms and technology. - Execution & Delivery: Proven ability to drive product and technical initiatives to completion, making informed trade-off decisions to maximize business value and deliver measurable outcomes. - Collaboration & Communication: Excellent ability to partner effectively with Product and Engineering teams to deliver measurable impact. - Product Mindset: Ability to translate ambiguous requirements into clear, reliable, and scalable technical solutions, incorporating instrumentation and performance monitoring to drive data-informed iteration. Privacy by design, features meet security, privacy, and regulatory standards, including PHI protection. - AI & Data-Driven Systems: Experience working with AI, automation, or data-driven systems, translating model outputs into reliable, production-grade workflows. PREFERRED QUALIFICATIONS - Experience in healthcare technology, workflow automation, or other process-intensive systems. - Familiarity with human-in-the-loop design patterns or feedback loops that connect automation with human review. - Familiarity with modern software development processes (Agile, Scrum). WHAT WE OFFER - Opportunity for growth in a fast-growing company - Collaborative team valuing innovation and problem-solving - Competitive salary and equity compensation - Flexible time off policy—we expect most employees to take at least 3 weeks of vacation per year - In-office lunches, dinners, and snacks to fuel your focus and well-being - 401(k) retirement plan with employer contribution - Comprehensive health insurance, dental, and commuter benefits LOCATION This role is in-person 3-5 days a week in our New York City office