Remote AI Platform Engineer Jobs
Remote AI Platform Engineer jobs are in active demand across the U.S., with remote-first firms and distributed engineering teams hiring for roles in cloud infrastructure, MLOps, and enterprise AI across software, finance, and healthcare. Employers hiring remotely right now include Netflix, STN, and Capital One. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 114+ Remote AI Platform Engineer jobs
Location
Remote; New York, NY; San Francisco, CA; Seattle, WA
Employment Type
Full time
Location Type
Remote
Department
All Cost CentersResearch & DevelopmentEngineering & TechnologyEngineering
Compensation
- $182,750 – $278,500 • Offers Equity
We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential.
1 in 4 people in the US have a treatable mental health condition, but most providers don't accept insurance, making therapy too expensive for most people. Headway’s mission is to fix this by building a new mental healthcare system everyone can access. We started by solving the biggest barrier to care: insurance. The admin work - credentialing, claims, payment reconciliation - is a nightmare. We've automated that.
But we're going further. Over 90,000 providers across all 50 states run their practice on our software, serving over 2.6 million patients. We are building the best tools for therapists to run their entire practice, reimagining the experience of finding a therapist, and investing in the platform foundations to enable this at scale, and building much of it with AI. We aren't just a billing layer; we are becoming the platform where care actually happens.
We're a Series D company with $325M+ in funding (a16z, Accel, Spark Capital, etc.), looking for exceptional people to help us achieve this mission. We want your time here to be the most meaningful experience of your career. Join us, and help change mental healthcare for the better.
About Eddy at Headway:
Eddy is Headway's in-house AI agent platform and the highest-leverage internal product we've shipped. It gives every Headwegian an agent harness pointed at Headway's own systems: an isolated sandbox per conversation, tool access to the third parties we depend on, and the ability to turn any of it into something durable, like a shareable interactive app, a workflow, a scheduled agent, a Slack teammate, or a webhook-triggered automation. Today 850+ Headwegians use Eddy daily, and 40k+ scheduled agents and workflows run every week with no one in the loop.
We sit in Engineering Foundations and own all of it: the chat product, the agent loop, the sandboxed runtime, the tool and integration layer, the artifact and app platform, the workflow engine, the eval harness, and the safety and access-control model that lets this touch real production and healthcare data without causing incidents. We're a small team with a very large surface area.
About this role:
Self-serve gets a function most of the way. It doesn't get them all the way.
Legal still reads every provider contract and payer amendment by hand, because what would help isn't a chat window. It's a system that knows what a redline means here, what gets escalated, and what our position was the last four times. Credentialing, claims exceptions, and CX triage each have their own version: work that is obviously automatable but full of enough domain-specific detail that nobody outside the function can build it, and nobody inside can build it alone.
That's this role. You'll embed with one function at a time and build them a real product on top of Eddy. Then you'll do the harder half: work out which parts are specific to that function and which are primitives that belong in the platform, and land the primitives in Eddy so the next function gets them for free. Most quarters should end with a function measurably better off and a new capability in the platform.
What you'll do:
- Find the real bottleneck. Sit with a function long enough to see the work, and define success in their terms: turnaround time, escalation volume, error rate, headcount avoided.
- Build the vertical. Skills, MCP integrations against their systems of record, subagents, scheduled and event-driven agents, artifact apps, and whatever product surface the workflow needs. You own it end to end.
- Ship in days, harden over weeks. Get a rough v1 in front of real users fast, then do the unglamorous work of making it dependable.
- Own it in production. Evals, tracing, cost and latency, failure modes. If a function depends on it, you're on the hook for it.
- Extract the primitives. Land the generalizable half in Eddy as a first-class capability, with tests and docs.
- Kill work that shouldn't exist. Some requests are better answered by a workaround, a config change, a process change, or nothing. Finding those is worth as much as building.
- Design for PHI from the start. Eddy operates inside HIPAA.
This is not solutions or sales engineering. There's no deal cycle, and your users are colleagues. It's not a pure platform role either: you'll spend real time inside other teams' problems.
Tools we use:
Languages: Python 3, TypeScript
Frontend: React 19, React Router 7, Tailwind, Radix, TanStack Query
Backend & Storage: FastAPI, SQLAlchemy 2.0 (async), Alembic, Postgres, Redis, DynamoDB, Snowflake
AI: Claude Agent SDK, Anthropic API, Bedrock, LangSmith
Infrastructure: AWS, EKS (a hardened pod per session), EC2 + CodeDeploy blue/green, Temporal, Kafka, Cloudflare
Ops: Datadog, Sentry, PagerDuty, GitHub Actions
AI tools: Cursor, Claude Code, and Eddy itself. We build Eddy with Eddy.
Who you are:
- An end-to-end product builder who moves between a React surface, a FastAPI service, and a container image without a handoff.
- Serious about AI as engineering: tool use, agent loops, evals, context management, and cost and latency at volume.
- Someone who likes users you can see. You've gravitated toward internal platform or developer tooling work, or taught something and enjoyed it.
- Able to hold a scope conversation: push back, renegotiate, say no, and leave people wanting to work with you again.
- A platform thinker who starts specific, and has the judgment to tell which half of a build is which.
- Comfortable owning outcomes with no spec and no backlog.
- Guardrails by instinct, and precise in communication with people who don't write code.
Experience we're seeking:
- 5+ years shipping production software end to end.
- Has built and shipped LLM/agent-powered products to real users.
- Experience as a forward deployed engineer, solutions engineer, internal platform engineer, or founder is a plus, as is work on agent frameworks or developer platforms. Healthcare experience is not required, but you should be able to dive into an exception-heavy domain and build a working mental model fast, several times a year.
You'll love this role if you want to:
- See a real business problem through to a shipped product your colleagues depend on.
- Shape an AI platform from the outside in.
- Have the most cross-functional engineering role at Headway.
Comprehensive benefits:
Medical, dental, vision, HSA/FSA, 401(k) including match for 2027!, Carrot Fertility reimbursement, and paid parental, medical and caregiver leave.
We believe a team's strength is in its people, and we cannot achieve this mission without a team that reflects the diversity of this problem – across race, ethnicity, gender, sexuality, age, national origin, religion, family status, disability, military status, and experience. Headway is committed to the full inclusion of all qualified individuals. As part of this commitment, Headway will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or receive other benefits and privileges of employment, please inform the recruiter when they contact you to schedule your interview.
Headway participates in E-Verify.
A notice to Headway applicants: To protect yourself against phishing and recruitment fraud, please note that Headway only accepts applications through our official careers page at https://headway.co/careers. Headway will never refer you to external websites, ask for payment or personal information, or conduct interviews via messaging apps. All official communication will come from a @findheadway.com email address. If you are contacted by someone claiming to be from Headway via an unofficial channel, please do not share any information and report it as spam.
Location
Remote; New York, NY; San Francisco, CA; Seattle, WA
Employment Type
Full time
Location Type
Remote
Department
All Cost CentersResearch & DevelopmentEngineering & TechnologyEngineering
Compensation
- $182,750 – $278,500 • Offers Equity
We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential.
1 in 4 people in the US have a treatable mental health condition, but most providers don't accept insurance, making therapy too expensive for most people. Headway’s mission is to fix this by building a new mental healthcare system everyone can access. We started by solving the biggest barrier to care: insurance. The admin work - credentialing, claims, payment reconciliation - is a nightmare. We've automated that.
But we're going further. Over 90,000 providers across all 50 states run their practice on our software, serving over 2.6 million patients. We are building the best tools for therapists to run their entire practice, reimagining the experience of finding a therapist, and investing in the platform foundations to enable this at scale, and building much of it with AI. We aren't just a billing layer; we are becoming the platform where care actually happens.
We're a Series D company with $325M+ in funding (a16z, Accel, Spark Capital, etc.), looking for exceptional people to help us achieve this mission. We want your time here to be the most meaningful experience of your career. Join us, and help change mental healthcare for the better.
About Eddy at Headway:
Eddy is Headway's in-house AI agent platform and the highest-leverage internal product we've shipped. It gives every Headwegian an agent harness pointed at Headway's own systems: an isolated sandbox per conversation, tool access to the third parties we depend on, and the ability to turn any of it into something durable, like a shareable interactive app, a workflow, a scheduled agent, a Slack teammate, or a webhook-triggered automation. Today 850+ Headwegians use Eddy daily, and 40k+ scheduled agents and workflows run every week with no one in the loop.
We sit in Engineering Foundations and own all of it: the chat product, the agent loop, the sandboxed runtime, the tool and integration layer, the artifact and app platform, the workflow engine, the eval harness, and the safety and access-control model that lets this touch real production and healthcare data without causing incidents. We're a small team with a very large surface area.
About this role:
Self-serve gets a function most of the way. It doesn't get them all the way.
Legal still reads every provider contract and payer amendment by hand, because what would help isn't a chat window. It's a system that knows what a redline means here, what gets escalated, and what our position was the last four times. Credentialing, claims exceptions, and CX triage each have their own version: work that is obviously automatable but full of enough domain-specific detail that nobody outside the function can build it, and nobody inside can build it alone.
That's this role. You'll embed with one function at a time and build them a real product on top of Eddy. Then you'll do the harder half: work out which parts are specific to that function and which are primitives that belong in the platform, and land the primitives in Eddy so the next function gets them for free. Most quarters should end with a function measurably better off and a new capability in the platform.
What you'll do:
- Find the real bottleneck. Sit with a function long enough to see the work, and define success in their terms: turnaround time, escalation volume, error rate, headcount avoided.
- Build the vertical. Skills, MCP integrations against their systems of record, subagents, scheduled and event-driven agents, artifact apps, and whatever product surface the workflow needs. You own it end to end.
- Ship in days, harden over weeks. Get a rough v1 in front of real users fast, then do the unglamorous work of making it dependable.
- Own it in production. Evals, tracing, cost and latency, failure modes. If a function depends on it, you're on the hook for it.
- Extract the primitives. Land the generalizable half in Eddy as a first-class capability, with tests and docs.
- Kill work that shouldn't exist. Some requests are better answered by a workaround, a config change, a process change, or nothing. Finding those is worth as much as building.
- Design for PHI from the start. Eddy operates inside HIPAA.
This is not solutions or sales engineering. There's no deal cycle, and your users are colleagues. It's not a pure platform role either: you'll spend real time inside other teams' problems.
Tools we use:
Languages: Python 3, TypeScript
Frontend: React 19, React Router 7, Tailwind, Radix, TanStack Query
Backend & Storage: FastAPI, SQLAlchemy 2.0 (async), Alembic, Postgres, Redis, DynamoDB, Snowflake
AI: Claude Agent SDK, Anthropic API, Bedrock, LangSmith
Infrastructure: AWS, EKS (a hardened pod per session), EC2 + CodeDeploy blue/green, Temporal, Kafka, Cloudflare
Ops: Datadog, Sentry, PagerDuty, GitHub Actions
AI tools: Cursor, Claude Code, and Eddy itself. We build Eddy with Eddy.
Who you are:
- An end-to-end product builder who moves between a React surface, a FastAPI service, and a container image without a handoff.
- Serious about AI as engineering: tool use, agent loops, evals, context management, and cost and latency at volume.
- Someone who likes users you can see. You've gravitated toward internal platform or developer tooling work, or taught something and enjoyed it.
- Able to hold a scope conversation: push back, renegotiate, say no, and leave people wanting to work with you again.
- A platform thinker who starts specific, and has the judgment to tell which half of a build is which.
- Comfortable owning outcomes with no spec and no backlog.
- Guardrails by instinct, and precise in communication with people who don't write code.
Experience we're seeking:
- 5+ years shipping production software end to end.
- Has built and shipped LLM/agent-powered products to real users.
- Experience as a forward deployed engineer, solutions engineer, internal platform engineer, or founder is a plus, as is work on agent frameworks or developer platforms. Healthcare experience is not required, but you should be able to dive into an exception-heavy domain and build a working mental model fast, several times a year.
You'll love this role if you want to:
- See a real business problem through to a shipped product your colleagues depend on.
- Shape an AI platform from the outside in.
- Have the most cross-functional engineering role at Headway.
Comprehensive benefits:
Medical, dental, vision, HSA/FSA, 401(k) including match for 2027!, Carrot Fertility reimbursement, and paid parental, medical and caregiver leave.
We believe a team's strength is in its people, and we cannot achieve this mission without a team that reflects the diversity of this problem – across race, ethnicity, gender, sexuality, age, national origin, religion, family status, disability, military status, and experience. Headway is committed to the full inclusion of all qualified individuals. As part of this commitment, Headway will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or receive other benefits and privileges of employment, please inform the recruiter when they contact you to schedule your interview.
Headway participates in E-Verify.
A notice to Headway applicants: To protect yourself against phishing and recruitment fraud, please note that Headway only accepts applications through our official careers page at https://headway.co/careers. Headway will never refer you to external websites, ask for payment or personal information, or conduct interviews via messaging apps. All official communication will come from a @findheadway.com email address. If you are contacted by someone claiming to be from Headway via an unofficial channel, please do not share any information and report it as spam.
See All 114+ Remote AI Platform Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsRemote AI Platform Engineer Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Consulting & Professional Services
- Education
- Insurance
- Automotive
What Employers Look For
The qualifications that appear most often in remote AI platform engineer jobs.
- Proficiency in Python and at least one infrastructure-as-code tool such as Terraform
- Hands-on experience with Kubernetes, Docker, and container orchestration at scale
- Experience building or maintaining MLOps pipelines using tools like Kubeflow, MLflow, or similar
- Familiarity with major cloud platforms including AWS, Google Cloud, or Microsoft Azure
- Bachelor's degree in computer science, engineering, or a related technical field
- Experience with data pipeline frameworks such as Apache Spark, Airflow, or Ray
Tips for Your Remote AI Platform Engineer Job Search
Apply early to remote roles that fit
Migrate Mate lists remote ai platform engineer openings from across the U.S. in one place. Search for roles that match your stack and experience level and apply directly, since remote postings at well-known companies fill quickly.
Document your async collaboration experience
Remote employers hire ai platform engineers who can move projects forward without constant check-ins. Your resume and cover letter should name specific async tools you've used, like Notion, Linear, or Slack threads, and show decisions you made and shipped independently.
Build a public AI infrastructure portfolio
Put your MLOps pipelines, model serving setups, or LLM orchestration work somewhere reviewable, whether a GitHub repository, a technical blog, or a demo environment. Remote hiring managers evaluate your work before they ever schedule a call.
Prepare for remote-first technical interviews
Expect live coding sessions in shared environments and system design discussions over video. Practice explaining your architecture decisions out loud and in writing, since remote teams assess both your technical depth and your ability to communicate complex infrastructure choices clearly.
Remote AI Platform Engineer Jobs: Frequently Asked Questions
How do I get a remote ai platform engineer job?
Target remote-first companies and distributed engineering teams, since they have established workflows for async collaboration and are more likely to onboard remote engineers successfully. Remote employers screen heavily for self-direction, clear written communication, and hands-on experience with MLOps tooling, cloud platforms, and LLM orchestration frameworks. Candidates who show previous async project delivery or open-source contributions in AI infrastructure stand out.
Which companies hire remote ai platform engineers?
Companies hiring remote ai platform engineers right now include Netflix, STN, and Capital One, based on current remote listings on Migrate Mate as of November 2026. Remote openings for this role concentrate at remote-first software companies, AI-native startups, and distributed teams in fintech and cloud services, where engineering teams operate across time zones and rely on async workflows.
Can you get a remote ai platform engineer job with no experience?
Yes, but remote entry-level roles are harder to land because employers expect you to work independently from day one without in-person onboarding support. The strongest path is building a public portfolio of AI infrastructure projects, contributing to open-source MLOps or LLM tooling repositories, and demonstrating written communication skills through documentation or technical writeups that show you can collaborate async.
Do you need a degree for remote ai platform engineer jobs?
Not always. Remote employers weigh demonstrated skills, shipped projects, and hands-on experience with cloud platforms, model serving infrastructure, and MLOps pipelines more heavily than a specific credential. A portfolio showing real AI infrastructure work, certifications from major cloud providers, and contributions to relevant open-source projects can carry as much weight as a formal degree for many remote teams.
Which industries hire the most remote ai platform engineers?
Most remote ai platform engineer openings sit in Technology & Software, Consulting & Professional Services, and Education, per current remote listings on Migrate Mate as of November 2026. These sectors rely on distributed engineering teams that build and maintain AI infrastructure across multiple regions, making remote work a natural fit for the role.
See All 114+ Remote AI Platform Engineer Jobs
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