[All remote jobs](https://jobicy.com/jobs.md)[![3Y Health logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2026/11/6d916d809c81-221.webp)](https://jobicy.com/company/3y-health.md)[3Y Health](https://jobicy.com/company/3y-health.md) # Full Stack Engineer AI Summary 3Y Health is seeking a senior full-stack engineer to build AI-enabled healthcare operations software for clinical practices. The role owns features end to end, from problem discovery and specification through implementation, deployment, monitoring, and incident response. Core work includes Python and TypeScript development, React-based web and mobile interfaces, PostgreSQL-backed services, AWS infrastructure, and durable workflows. The engineer will build and evaluate LLM agents, coding-agent integrations, MCP tools, and automated workflows while safeguarding protected health information. This remote contract position requires strong independent product judgment, hands-on AI-agent experience, and clear asynchronous communication.[Apply for this job](#job-application)[View company](https://jobicy.com/company/3y-health.md)ShareRemote from[Argentina](https://jobicy.com/job-region/argentina.md)SalaryUndisclosedDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentContractExperienceSeniorPublished11 Nov 2026Apply before11 Dec 2026Listing views48Application actions2Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. Opportunity details ## About this role. ### About [3Y Health](https://jobicy.com/company/3y-health.md) 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. Show more [Apply now >](https://jobicy.com/jobs/161435-full-stack-engineer-9.md) > Annual salary information is not provided for this position. Explore salary ranges for similar roles in our [Salary Directory ›](https://jobicy.com/salaries.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 4/5IndependentCollaborative AI insightThis is a high-seniority role spanning product discovery, full-stack delivery, production ownership, infrastructure, and AI-agent engineering in a regulated healthcare setting. Candidates must independently solve ambiguous problems while maintaining strong reliability, security, and PHI-handling practices. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per hour)Market rate$55US market range (per hour)$40–$750$82.50 AI insightThe hourly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer compensation was disclosed. The hourly figures are estimated USD market ranges for a senior remote contract full-stack engineer in Argentina with AI-agent, cloud infrastructure, and regulated-healthcare responsibilities; the hourly cadence is inferred from the contract arrangement. ## Core skills Skills and capabilities most closely associated with this opportunity. [Python](https://jobicy.com/jobs?search_keywords=Python.md)[TypeScript](https://jobicy.com/jobs?search_keywords=TypeScript.md)[React](https://jobicy.com/jobs?search_keywords=React.md)[Next.js](https://jobicy.com/jobs?search_keywords=Next.js.md)[React Native](https://jobicy.com/jobs?search_keywords=React%20Native.md)[PostgreSQL](https://jobicy.com/jobs?search_keywords=PostgreSQL.md)[AWS](https://jobicy.com/jobs?search_keywords=AWS.md)[Terraform](https://jobicy.com/jobs?search_keywords=Terraform.md)[GraphQL](https://jobicy.com/jobs?search_keywords=GraphQL.md)[Temporal](https://jobicy.com/jobs?search_keywords=Temporal.md)[LLM Agents](https://jobicy.com/jobs?search_keywords=LLM%20Agents.md)[MCP Integrations](https://jobicy.com/jobs?search_keywords=MCP%20Integrations.md)[AI Evaluation](https://jobicy.com/jobs?search_keywords=AI%20Evaluation.md)[Healthcare Compliance](https://jobicy.com/jobs?search_keywords=Healthcare%20Compliance.md)[CI/CD](https://jobicy.com/jobs?search_keywords=CICD.md) Sample interview questionsDescribe an AI-agent workflow you built for a production use case and how you evaluated its quality.I would explain the workflow's user goal, tools, data boundaries, orchestration design, and failure handling. I would also describe an evaluation suite using representative scenarios, structured success criteria, regression testing, human review for high-risk cases, and production metrics such as completion rate, latency, and escalation rate. How would you design an automated prior-authorization workflow while protecting PHI? I would apply least-privilege service access, encryption in transit and at rest, strict audit logging, and redaction rules that prevent PHI from entering application logs or model telemetry. The workflow would use explicit approval gates for consequential actions, idempotent processing, traceable state transitions, and carefully scoped integrations with payer or EHR systems. How do you take an ambiguous operational problem from zero to one? I start with interviews and workflow observation to identify the user, decision points, constraints, and measurable outcome. I write a lightweight specification, define a narrow first release and success metrics, validate assumptions early, then ship an observable version that can be iterated using real feedback. What is your approach to reviewing code produced by AI coding agents? I treat AI-generated code as an untrusted draft and review architecture, security boundaries, correctness, tests, dependency choices, and operational impact. I use clear repository instructions, small scoped tasks, automated checks, and targeted manual testing before merging, especially around data access and production integrations. How would you structure a service that must reliably execute long-running clinic workflows? I would model the workflow as durable, versioned state with explicit retries, timeouts, compensation paths, and idempotency keys. A workflow engine such as Temporal would coordinate steps, while service APIs, events, monitoring, and alerts would provide clear visibility into failures and allow safe recovery. 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