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 D-Wave, BlackRock, and HH Global. See the openings below and apply to the ones that match your experience.
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Job Description
- The UiPath Developer is responsible for designing, developing, testing, deploying, and maintaining Robotic Process Automation (RPA) solutions that improve operational efficiency, accuracy, compliance, and citizen service delivery across agencies. This role supports both traditional linear automation workflows and emerging Agentic AI solutions using UiPath’s automation platform.
Key Duties and Responsibilities
- Design, develop, test, and implement UiPath automation solutions for business processes.
- Build and maintain automations including attended, unattended, and scheduled bots for repetitive, rules-based workflows.
- Analyze business requirements and translate them into scalable automation solutions using UiPath Studio, UiPath Studio Web, Orchestrator, and related technologies.
- Develop process workflows, exception handling, logging, auditing, and monitoring capabilities for enterprise-grade automation.
- Create reusable automation components, libraries, & templates to support enterprise automation initiatives.
- Support integration of UiPath solutions with government systems, databases, APIs, document management systems, and cloud services.
- Implement secure automation practices aligned with cybersecurity, privacy, and compliance standards.
- Perform testing, debugging, troubleshooting, and ongoing maintenance of automation solutions.
- Monitor bot performance, resolve production issues, and optimize automation reliability and efficiency.
- Develop technical documentation and workflow diagrams.
- Support citizen service modernization initiatives through intelligent automation technologies.
Agentic AI Responsibilities
- Design and implement Agentic AI solutions using UiPath Autopilot, AI Center, Document Understanding, Communications Mining, and generative AI capabilities.
- Develop AI-powered agents capable of autonomous decision-making, contextual reasoning, and multi-step task orchestration within defined governance controls.
- Integrate Large Language Models (LLMs), AI services, and intelligent document processing into automation workflows.
- Build human-in-the-loop workflows that combine AI agents with employee oversight and approval processes.
- Develop intelligent agents capable of interpreting unstructured data, emails, forms, documents, and citizen communications.
- Implement retrieval-augmented generation (RAG), prompt engineering, and AI orchestration techniques within UiPath ecosystems.
- Ensure responsible AI practices including transparency, auditability, bias mitigation, security, and compliance with government policies.
- Evaluate emerging AI and automation technologies to improve operational efficiency and service delivery.
- Assist with establishing enterprise standards and governance for Agentic AI implementations across agencies.
Preferred Technical Skills
- UiPath Studio, StudioX, Orchestrator, AI Center, Action Center, and Document Understanding
- REFramework and enterprise RPA design patterns
- API integrations, REST/SOAP services, SQL databases
- OCR technologies and intelligent document processing
- Generative AI, LLM integration, prompt engineering, and AI orchestration
- Programming/scripting languages such as C#, VB.NET, Python, PowerShell, or JavaScript
- Cloud platforms and enterprise authentication/security concepts
- Agile/Scrum development methodologies
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Who's Hiring



Top Industries Hiring
- Technology & Software
- Education
- Insurance
- Automotive
- Science & Research
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.
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 D-Wave, BlackRock, and HH Global, based on current remote listings on Migrate Mate as of September 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, Education, and Insurance, based on current remote listings on Migrate Mate as of September 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 81 Remote AI Developer Jobs
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Find Remote AI Developer Jobs