Senior AI Engineer - Healthcare SaaS Full-Stack Role in Columbus
Career & Market Insight
A Rare Opportunity at the AI-Native Healthcare Frontier
This is a high-ownership, high-impact individual contributor role at an early-stage company building at the intersection of two fast-moving fields: AI/LLMs and healthcare operations. "Technical Staff" with end-to-end feature ownership and a flat engineering org means you'll accumulate a broad portfolio quickly — from AI agent design to HIPAA-compliant infrastructure.
Compensation: No salary is listed, which is a yellow flag. For a senior engineer (5+ years) with AI specialization, US market rates run $170K–$220K+ annually. If this role targets Argentina-based hires, local market rates differ significantly — ensure you negotiate clarity on currency, rate, and equity early.
Skills You'll Build (High Market Demand):
- Production AI agent orchestration (LangGraph, MCP, Claude Code) — among the hottest skills in 2024–2025.
- Healthcare data compliance (HIPAA, PHI handling, EHR integrations) — a niche that commands premium rates.
- Full-stack ownership across Python, TypeScript, React Native, and AWS — broad, transferable signal.
- LLM evals and production monitoring — a rare, increasingly critical discipline.
Green Flags: Flat team, no sub-teams, genuine 0-to-1 ownership, AI-first culture, expanding into new therapy verticals (growth trajectory). The requirement to have shipped a personal SaaS suggests the company values builders with real-world product instincts.
Red Flags: No salary transparency, no mention of equity or benefits, and healthcare regulated environments carry compliance overhead that can slow development cycles.
About 3Y Health
3Y Health is building the operating system for healthcare practices — an AI-native platform that helps clinicians start, run, and grow their practice. We work as a managed services organization (MSO): along with the software, our operations team runs the back office for the clinics we partner with, including billing, insurance, and compliance. We currently serve applied behavior analysis (ABA) therapy practices and are expanding into speech, occupational and physical therapy, and psychiatry.
About the Role
Members of Technical Staff own features end to end. You'll work with the clinicians and operators who use what we build, scope the problem, design and build the solution across the stack, deploy it, and follow how it performs in production. Our engineering team is flat, with no sub-teams, so you'll work across the whole platform. We build with AI coding agents every day and expect you to do the same.
What You'll Do
- Design and build AI agents and automated workflows for clinic operations, such as insurance benefits verification, prior authorizations, patient intake, claims, and clinical documentation.
- Build features for clinicians, patients and families, and our internal operations team, on web and mobile.
- Take ambiguous problems from 0 to 1, working with operators and clinicians to define the problem, write the spec, and ship a first version.
- Design the services, data models, and APIs behind your features and manage the infrastructure as code.
- Own your services in production: deployments, monitoring, and incident response.
- Write evals for model-facing features and track the metrics of the workflows you ship.
- Work with protected health information (PHI) safely, with least-privilege access, no PHI in logs, and auditable changes.
- Build and maintain the skills, plugins, MCP integrations, and review bots our engineers use with Claude Code and Codex.
Our Stack
- Backend: Python (our primary language for new services), Kotlin with Hasura (GraphQL) on our established platform, plus TypeScript (NestJS) and some Go.
- Frontend and Mobile: React, Next.js, React Native.
- Data: PostgreSQL (including pgvector), Snowflake.
- Workflows and Contracts: Temporal, gRPC/Protobuf.
- Infrastructure: AWS (ECS Fargate, RDS), Terraform, GitHub Actions, Datadog, LaunchDarkly.
- AI: Claude and OpenAI models, Claude Code and Codex, with our own skills, plugins, MCP integrations, and an AI code-review bot.
Must-Haves
- 5+ years of experience building and shipping production software.
- Recent, hands-on experience using or building AI harnesses: the layer around a model or coding agent (project instructions, tools and MCP servers, skills, hooks, subagents, evals) — not only calls to a model API. You can show what you set up or built.
- At least one personal project you built and published on the web, live and usable by anyone — ideally a SaaS with payments working (e.g., Stripe). Share the link when you apply.
What We're Looking For
- A track record of owning products or features end to end, from an unclear problem to a system people depend on.
- Strong full-stack skills in Python and TypeScript, with experience across frontend, backend, databases, and cloud infrastructure.
- Comfort working in a large, established codebase.
- Hands-on experience building with LLMs, including tool use, agent orchestration, structured outputs, retrieval, and evals (LangGraph, an agents SDK, or similar).
- Daily use of AI coding agents such as Claude Code, Codex, or Cursor. You know how to set them up for a codebase (project instructions, skills, MCP servers, hooks, subagents), run several tasks in parallel, and review their output carefully. If you haven't heard of Claude Code, this role is likely not a fit.
- Good product sense and the ability to make solid UI decisions without a dedicated designer, using our component library.
- High agency: you unblock yourself, look for context, and ask questions when you need to.
- Clear written communication. The team is distributed across time zones and most decisions happen in specs, PRs, and tickets.
Nice to Have
- Experience in healthcare or another regulated industry (HIPAA, payer and claims workflows, EHR integrations, HL7/FHIR).
- Temporal or another durable workflow engine.
- React Native.
- Running LLM evaluations or safety checks on model output in production.
- Having built your own agent harness, MCP server, or plugin for a coding agent.
- Open-source work or internal tools that other people use.
If you meet all the must-haves and most of the rest, we'd like to hear from you, even if you don't check every other box.
Frequently Asked Questions
Is this role fully remote or does it require being in a specific office?
What level of AI experience is required for this position?
Do I need healthcare industry experience to apply?
What personal project is required when applying?
What is the tech stack I'd be working with?
