Senior Software Engineer

Root, Inc. is a fast-growing healthtech startup on a mission to reverse chronic disease at its root cause. They are seeking a Senior Software Engineer to build rootOS, an AI-enabled platform that supports clinicians and members by integrating AI-powered workflows and automating operations.

Responsibilities:

• Build core rootOS features: Design and ship features across our clinician, employer, and member-facing web application — including charting, messaging, scheduling, labs, protocols, and billing — with a strong sense of craft, clarity, and clinical safety
• Build AI-powered workflows inside the product: Where it makes sense, design and integrate LLM-powered features that support the care team (synthesizing labs, drafting clinical communications, automating operational workflows) and members (answering health questions, explaining labs and protocols, sending proactive check-ins). This includes retrieval, tool use, orchestration, and evals — as part of a larger product, not as the product itself
• Integrate real clinical data: Build and maintain integrations with EHRs, lab providers, scheduling systems, and third-party APIs. Design clean schemas and data models that make downstream product features and analytics actually work
• Establish engineering standards: Set the bar for code quality, testing, observability, and evals across the full stack
• Work directly with clinicians: Translate real clinical workflows and patient needs into software that saves time, reduces errors, and feels human

Requirements:

• 5–8 years of professional software engineering experience, with meaningful full-stack ownership of a production product
• Strong full-stack chops: you're fluent across a modern backend (Ruby/Rails, TypeScript/Node, or Python), a modern frontend framework (Svelte, React, or similar), and a relational database (Postgres). You can own a feature from schema to UI
• Hands-on experience building AI features inside a larger product — agent frameworks, tool use, retrieval-augmented generation, prompt design, and evaluation. You've shipped at least one non-trivial AI-powered feature to real users, and you have good judgment about when LLMs are the right tool and when they aren't
• Experience designing and building data integrations (APIs, webhooks, ETL) — bonus if you've worked with EHR, labs, HL7/FHIR, or healthcare data
• Working knowledge of cloud infrastructure (AWS, GCP, or similar), IaC, CI/CD, and security best practices. Comfortable making thoughtful trade-offs under regulatory constraints
• A product mindset: you care about what users experience, not just what the system does. You hold a high bar for craft and sweat the details
• You are a builder who ships quickly. You've worked in environments where speed mattered, and you know how to prioritize impact over premature optimization
• Comfortable operating in ambiguity and owning problems end-to-end without waiting for perfect requirements
• Excellent written and verbal communication. You can explain technical trade-offs to clinicians and product decisions to engineers
• Experience shipping in a regulated environment (HIPAA, SOC 2, GDPR, HITRUST)
• Background in health tech, digital health, or clinical informatics
• Early-stage or founding-engineer experience — you're energized by ambiguity and early-stage velocity
• Interest in functional medicine, preventive health, or patient-centered care