Remote Applied AI Engineer Jobs
Remote applied AI engineer jobs are open across the U.S. at remote-first companies and distributed teams building production AI systems. Employers hiring remotely right now include Atlas Technologies, EPAM Systems, and FICO, with demand concentrated in software, fintech, and healthcare tech. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 83+ Remote Applied AI 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 83 Remote Applied AI Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsRemote Applied AI Engineer Job Market
Who's Hiring
- Atlas Technologies22
- EPAM Systems6
- FICO2
- Abrigo2
- VetsEZ2
Top Industries Hiring
- Technology & Software
What Employers Look For
The qualifications that appear most often in remote applied AI engineer jobs.
- Proficiency in Python with hands-on experience building and deploying machine learning models
- Experience with large language models and frameworks such as PyTorch, Hugging Face, or LangChain
- Familiarity with MLOps tooling including model versioning, monitoring, and CI/CD pipelines
- Bachelor's or master's degree in computer science, machine learning, or a closely related field
- Experience integrating AI models into production software systems via APIs or microservices
- Working knowledge of cloud platforms such as AWS, Google Cloud, or Azure for model serving
Tips for Your Remote Applied AI Engineer Job Search
Apply early to remote roles that fit
Migrate Mate lists remote applied ai engineer openings from across the U.S. in one place. Check it regularly and apply directly to roles that match your stack and experience level. Remote postings often fill faster than on-site ones because the candidate pool is national.
Build a portfolio of deployed AI systems
Remote employers can't watch you work, so your GitHub portfolio does that job for you. Show end-to-end projects: a fine-tuned model, a RAG pipeline, or an LLM-powered tool with a live demo. Deployed beats documented every time.
Sharpen your async written communication
Remote applied ai engineer roles run on written communication. Practice explaining model architecture decisions, tradeoffs, and experiment results in clear, structured writing. Strong technical writing in your cover letter or take-home exercises signals you'll thrive on a distributed team.
Target remote-first companies specifically
Remote-first AI companies are set up for distributed engineering from day one, which means faster onboarding and fewer hybrid exceptions. Look for companies whose job descriptions mention async standups, distributed team culture, or tooling like Notion, Linear, or Slack-first workflows.
Remote Applied AI Engineer Jobs: Frequently Asked Questions
How do I get a remote applied ai engineer job?
Remote applied ai engineer roles go to candidates who can ship AI systems independently and communicate technical decisions clearly in writing. Remote employers screen hard for async communication skills, self-direction, and hands-on experience with ML frameworks, model fine-tuning, and API integration. A public GitHub portfolio showing real deployed models, RAG pipelines, or LLM-based tools gives you a concrete edge over candidates with equivalent credentials but nothing to show.
Which companies hire remote applied ai engineers?
Companies hiring remote applied ai engineers right now include Atlas Technologies, EPAM Systems, and FICO, based on current remote listings on Migrate Mate as of November 2026. Remote-first software companies, AI-native startups, and distributed enterprise teams in fintech, healthcare tech, and SaaS tend to hire applied ai engineers remotely most consistently.
Can you get a remote applied ai engineer job with no experience?
Yes, but remote entry-level applied ai engineer roles are harder to land because you're expected to work independently from day one without in-person guidance. AI-native startups and remote-first product companies are your most realistic targets. What opens the door without experience is a portfolio of deployed AI projects, open-source contributions, and demonstrated fluency with the tools remote teams actually use, like LangChain, OpenAI APIs, or Hugging Face.
Do you need a degree for remote applied ai engineer jobs?
Not always. Many remote teams hiring applied ai engineers weigh demonstrated skills and shipped projects more heavily than a formal degree, especially at startups and AI-native companies. What matters most is proof you can build and deploy AI systems: a strong portfolio, contributions to real codebases, and familiarity with production ML tooling. A degree in computer science or a related field still helps at larger enterprise employers.
Which industries hire the most remote applied ai engineers?
Most remote applied ai engineer openings sit in Technology & Software, per current remote listings on Migrate Mate as of November 2026. Those sectors hire applied ai engineers remotely because their product and data infrastructure is already distributed, making fully remote engineering teams a natural fit.
See All 83 Remote Applied AI Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
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