[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)

# Member of Technical Staff

AI Summary This is a senior full-stack engineering role building an AI-native operating platform for healthcare practices. The engineer owns features end to end, from problem discovery and specification through implementation, deployment, monitoring, and incident response. Core work includes LLM agents, automation workflows, web and mobile experiences, backend services, infrastructure, and production evaluations. The role requires strong hands-on use of AI coding agents and agent harnesses, as well as careful handling of protected health information. It is a remote contract position based in Argentina within a distributed engineering team.[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 views40Application actions3Application 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

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Design and build AI agents and automated workflows for clinic operations, such as insurance benefits verification, prior authorizations, patient intake, claims and clinical documentation

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Build features for clinicians, patients and families, and our internal operations team, on web and mobile

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Take ambiguous problems from 0 to 1, working with operators and clinicians to define the problem, write the spec and ship a first version

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Design the services, data models and APIs behind your features and manage the infrastructure as code

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Own your services in production: deployments, monitoring and incident response

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Write evals for model-facing features and track the metrics of the workflows you ship

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Work with protected health information (PHI) safely, with least-privilege access, no PHI in logs and auditable changes

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Build and maintain the skills, plugins, MCP integrations and review bots our engineers use with Claude Code and Codex

### Our stack

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Backend: Python (our primary language for new services), Kotlin with Hasura (GraphQL) on our established platform, plus TypeScript (NestJS) and some Go

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Frontend and mobile: React, Next.js, React Native

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Data: PostgreSQL (including pgvector), Snowflake

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Workflows and contracts: Temporal, gRPC/Protobuf

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Infrastructure: AWS (ECS Fargate, RDS), Terraform, GitHub Actions, Datadog, LaunchDarkly

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AI: Claude and OpenAI models, Claude Code and Codex, with our own skills, plugins, MCP integrations and an AI code-review bot

### Must-haves

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5+ years of experience building and shipping production software

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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.

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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

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A track record of owning products or features end to end, from an unclear problem to a system people depend on

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Strong full-stack skills in Python and TypeScript, with experience across frontend, backend, databases and cloud infrastructure

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Comfort working in a large, established codebase

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Hands-on experience building with LLMs, including tool use, agent orchestration, structured outputs, retrieval and evals (LangGraph, an agents SDK or similar)

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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.

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Good product sense and the ability to make solid UI decisions without a dedicated designer, using our component library

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High agency: you unblock yourself, look for context and ask questions when you need to

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Clear written communication. The team is distributed across time zones and most decisions happen in specs, PRs and tickets.

### Nice to have

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Experience in healthcare or another regulated industry (HIPAA, payer and claims workflows, EHR integrations, HL7/FHIR)

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Temporal or another durable workflow engine

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React Native

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Running LLM evaluations or safety checks on model output in production

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Having built your own agent harness, MCP server or plugin for a coding agent

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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/161423-member-of-technical-staff-3.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)

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![Upload CV](data:image/svg+xml;base64,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)

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## 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 insightThe role combines senior full-stack ownership with production AI-agent systems, cloud infrastructure, healthcare compliance, and operationally critical workflows. Candidates must independently resolve ambiguous problems while maintaining reliability and PHI safeguards.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate$80,000US market range (per year)$60k–$105k0$115.50k

AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer compensation was disclosed. The yearly period and USD market estimate are inferred for a senior remote contract software engineer in Argentina with substantial full-stack, AI-agent, and healthcare-platform responsibilities.

## 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)[LLM agents](https://jobicy.com/jobs?search_keywords=LLM%20agents.md)[MCP integrations](https://jobicy.com/jobs?search_keywords=MCP%20integrations.md)[Temporal](https://jobicy.com/jobs?search_keywords=Temporal.md)[Datadog](https://jobicy.com/jobs?search_keywords=Datadog.md)[Healthcare compliance](https://jobicy.com/jobs?search_keywords=Healthcare%20compliance.md)[API design](https://jobicy.com/jobs?search_keywords=API%20design.md)

Sample interview questionsDescribe an AI agent or agent harness you built for a production workflow.A strong answer should explain the workflow objective, model and tool choices, instructions or skills, MCP or API integrations, guardrails, evaluation approach, observability, and measurable results. It should also cover how the candidate handled failures, unsafe output, and human review.

How would you design a reliable prior-authorization automation workflow for a clinic?

I would model it as a durable, auditable workflow with clear states for data collection, payer verification, submission, follow-up, and exception handling. I would use structured outputs, validate every external request, retain traceable records, add human escalation for uncertainty, and monitor completion time, error rates, and authorization outcomes.

How do you safely work with PHI in application services and AI-enabled features?

I apply least-privilege access, encrypt data in transit and at rest, avoid PHI in logs and prompts where possible, and maintain auditable access and change records. I also use data minimization, redaction, controlled retention, and explicit review of third-party model and vendor data-handling terms.

Tell us about a feature you owned from an unclear problem to production.

A strong response should show how the candidate gathered context from users, defined success metrics, wrote a lightweight specification, made pragmatic technical decisions, shipped an initial version, and iterated using production feedback. It should demonstrate ownership of deployment, monitoring, and post-launch improvements.

How do you use AI coding agents while maintaining code quality in a large codebase?

I provide repository-specific instructions, scoped tasks, relevant tests, and clear acceptance criteria. I run independent tasks in parallel when appropriate, review generated diffs critically, validate architecture and security implications, execute tests, and treat agent output as a draft rather than an unverified final implementation.

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