Remote AI Developer Jobs
Remote AI Developer jobs are open across the U.S. at remote-first firms and distributed teams in sectors like software, fintech, and enterprise tech. Employers hiring remote ai developers right now include CVS Health, Netflix, and Humana. See the openings below and apply to the ones that match your experience.
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Title: AI Engineer
Duration: 6 Months
Location: Remote
Job Description:
Role Summary
We have a capable engineering team working on a complex legacy-to-Python migration and multiple customer-facing platforms. We don't need another developer — we need someone whose primary job is to make the entire team 3-5x faster by building AI-powered automation across every phase of the SDLC: requirements extraction, code generation, testing, defect analysis, and release. This person doesn't just use AI — they architect AI-driven engineering workflows that multiply the output of every developer on the team.
Required Skills (Must-Have):
- AI Agent Development & Orchestration: #1 differentiator. Proven experience building multi-step AI agent workflows for engineering tasks — chaining code analysis, generation, validation, feedback. GitHub Copilot, Claude, LangChain, custom agents, or equivalent.
- SDLC Automation & DevOps: Track record of automating significant portions of the delivery lifecycle — CI/CD, automated testing, code quality gates, release automation (GitHub Actions).
- Python (strong proficiency): Primary codebase is Python — data processing, JSON transformations, modular architecture. Must build tooling and review/generate code at scale.
- Automated Testing Frameworks: AI-augmented regression suites, diff/comparison tooling, scenario-based test generation, golden-file validation. pytest, CI integration.
- Advanced Prompt Engineering: Complex multi-step prompts for code generation, legacy code analysis, business rule extraction. Knows how to structure context, manage token limits, and validate AI outputs.
Requirements
- 7+ years of experience
Preferred Skills
- Legacy code analysis — Parsing unfamiliar proprietary languages to extract business logic via AI
- Java / Spring Boot — Secondary platforms are Java-based
- Elasticsearch, Azure / AKS / Cosmos DB — Platform technologies
- Healthcare data / MDM domain
Key Attributes
- AI-native thinker — Every manual process is an automation opportunity. AI is the primary development engine, not a side tool.
- Force multiplier — Measures success by how much faster they make the entire team, not by their own code output
- Builder of systems — Creates reusable tooling, agent templates, and playbooks the whole team adopts
- Pragmatic and fast — Ships working automation in days, not weeks. Iterates rapidly.
Environment
Python, Java/Spring Boot, Elasticsearch, Azure (AKS, Cosmos DB), GitHub, Jira, HPCC/ECL (legacy) | GitHub Copilot, Claude, SDD, AI-DLC | Agile, 2-week sprints
Title: AI Engineer
Duration: 6 Months
Location: Remote
Job Description:
Role Summary
We have a capable engineering team working on a complex legacy-to-Python migration and multiple customer-facing platforms. We don't need another developer — we need someone whose primary job is to make the entire team 3-5x faster by building AI-powered automation across every phase of the SDLC: requirements extraction, code generation, testing, defect analysis, and release. This person doesn't just use AI — they architect AI-driven engineering workflows that multiply the output of every developer on the team.
Required Skills (Must-Have):
- AI Agent Development & Orchestration: #1 differentiator. Proven experience building multi-step AI agent workflows for engineering tasks — chaining code analysis, generation, validation, feedback. GitHub Copilot, Claude, LangChain, custom agents, or equivalent.
- SDLC Automation & DevOps: Track record of automating significant portions of the delivery lifecycle — CI/CD, automated testing, code quality gates, release automation (GitHub Actions).
- Python (strong proficiency): Primary codebase is Python — data processing, JSON transformations, modular architecture. Must build tooling and review/generate code at scale.
- Automated Testing Frameworks: AI-augmented regression suites, diff/comparison tooling, scenario-based test generation, golden-file validation. pytest, CI integration.
- Advanced Prompt Engineering: Complex multi-step prompts for code generation, legacy code analysis, business rule extraction. Knows how to structure context, manage token limits, and validate AI outputs.
Requirements
- 7+ years of experience
Preferred Skills
- Legacy code analysis — Parsing unfamiliar proprietary languages to extract business logic via AI
- Java / Spring Boot — Secondary platforms are Java-based
- Elasticsearch, Azure / AKS / Cosmos DB — Platform technologies
- Healthcare data / MDM domain
Key Attributes
- AI-native thinker — Every manual process is an automation opportunity. AI is the primary development engine, not a side tool.
- Force multiplier — Measures success by how much faster they make the entire team, not by their own code output
- Builder of systems — Creates reusable tooling, agent templates, and playbooks the whole team adopts
- Pragmatic and fast — Ships working automation in days, not weeks. Iterates rapidly.
Environment
Python, Java/Spring Boot, Elasticsearch, Azure (AKS, Cosmos DB), GitHub, Jira, HPCC/ECL (legacy) | GitHub Copilot, Claude, SDD, AI-DLC | Agile, 2-week sprints
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Find Remote AI Developer JobsRemote AI Developer Job Market
Who's Hiring
- CVS Health53
- Netflix10
- Humana9
- Airbnb8
- Block7
Top Industries Hiring
- Technology & Software95
- Healthcare & Medical Services67
- Consulting & Professional Services26
- Insurance14
- Media & Entertainment13
What Employers Look For
The qualifications that appear most often in remote AI developer jobs.
- Proficiency in Python and at least one deep learning framework such as PyTorch or TensorFlow
- Experience building, training, and deploying machine learning or large language models in production
- Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for model serving and MLOps
- Strong understanding of data preprocessing, feature engineering, and model evaluation techniques
- Bachelor's or master's degree in computer science, data science, or a related quantitative field
- Experience with version control, experiment tracking tools, and containerization using Docker or Kubernetes
Tips for Your Remote AI Developer Job Search
Apply early to remote roles that fit
Migrate Mate lists remote ai developer openings from across the U.S. in one place, so you can find roles that match your stack and apply directly. Remote postings fill fast, so checking for new listings and applying promptly gives you a real advantage.
Show deployed work, not just code
Remote ai developer hiring moves fast when candidates can point to a model in production, not just notebooks. Maintain a portfolio that includes deployed endpoints, evaluation metrics, and a short write-up of your design decisions so reviewers can assess your judgment asynchronously.
Write your way through the remote screen
Remote teams evaluate your async communication as carefully as your technical skills. Practice writing concise, self-contained project summaries and pull request descriptions that a reviewer can understand without a meeting. This is often what separates candidates in early screening rounds.
Target remote-first companies specifically
Remote-first firms have distributed workflows built in, so you won't be an afterthought in a hybrid team. Look for companies that document decisions in writing, hold async standups, and use tools like Notion, Jira, or Weights and Biases across their engineering org.
Prepare for a technical async take-home
Many remote ai developer interviews include a take-home assessment involving model building, fine-tuning, or evaluation on a real dataset. Practice structuring your submissions with clear methodology sections and reproducible code so your reasoning is transparent to a distributed review panel.
Remote AI Developer Jobs: Frequently Asked Questions
How do I get a remote ai developer job?
Target companies that already run distributed engineering teams, because they have the infrastructure and culture for remote ai work. Remote employers screen for self-direction, clear async written communication, and hands-on fluency with ML frameworks like PyTorch or TensorFlow and cloud platforms like AWS or GCP. A public portfolio of deployed models or contributed open-source projects gives you a concrete edge over candidates with comparable credentials.
Which companies hire remote ai developers?
Companies hiring remote ai developers right now include CVS Health, Netflix, and Humana, based on current remote listings on Migrate Mate as of June 2026. Remote ai developer roles tend to concentrate at remote-first software companies, AI-native startups, and distributed enterprise tech teams across fintech, healthcare technology, and SaaS.
Can you get a remote ai developer job with no experience?
Yes, but remote entry-level ai developer roles are harder to land because you're expected to work independently from day one with minimal hand-holding. AI-native startups and early-stage companies are the most likely to take a chance on junior remote candidates. What opens the door is a portfolio of real projects, demonstrated ability to communicate progress in writing, and familiarity with standard ML tooling.
Do you need a degree for remote ai developer jobs?
Not always. Remote employers for ai developer roles weigh demonstrable skills and real project results heavily alongside formal education. A strong GitHub portfolio, contributions to open-source ML projects, or completion of recognized AI certification programs can offset or complement a non-traditional educational background, particularly at remote-first companies that evaluate candidates on output rather than credentials.
Which industries hire the most remote ai developers?
Remote ai developer roles concentrate in Technology & Software, Healthcare & Medical Services, and Consulting & Professional Services, based on current remote listings on Migrate Mate as of June 2026. Those sectors hire ai developers remotely because their product and data teams are already distributed, making async collaboration and cloud-based ML workflows a natural fit.
See All 312+ Remote AI Developer Jobs
Find roles that match your experience and apply in just a few clicks.
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