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Product Engineer

Job in New York, New York County, New York, 10261, USA
Listing for: Dormont Manufacturing Co
Full Time position
Listed on 2026-07-23
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Backend Developer, Cloud Engineer - Software, Software Architect
Salary/Wage Range or Industry Benchmark: 90000 - 120000 USD Yearly USD 90000.00 120000.00 YEAR
Job Description & How to Apply Below
Location: New York

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 Type Script 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 Git Hub with CI/CD pipelines and comprehensive testing frameworks for development.

About the Role

We’re hiring a Product Engineer to design and build the AI systems that power our AI automation platform. You’ll work across domains such as intake, clinical documentation, and revenue cycle management, translating real-world processes into scalable, reliable software and agentic workflows.

A successful Product Engineer 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.

Responsibilities
  • Design, build, and deploy AI-driven systems 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 platform 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,…

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