Remote AI Software Developer Jobs
Remote AI Software Developer jobs are in strong demand across the U.S., with remote-first firms and distributed teams actively hiring for roles in technology, healthcare, and financial services. Employers hiring remotely right now include CVS Health, Advanced Monitored Caregiving, and Serko. See the openings below and apply to the ones that match your experience.
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Showing 5 of 209+ Remote AI Software Developer jobs
The Role
We are seeking a hands-on Senior Software Developer / Technical Lead with an AI focus to help us lead teams that build new applications and modernize existing ones for our clients. You will work as part of an AI Led Application Modernization team that believes the way software is designed, built, tested, and maintained is changing quickly—and that senior technical leaders have an opportunity to shape how teams adopt these changes responsibly and effectively. Among your responsibilities will be:
- Set technical direction for delivery teams, including architecture, engineering practices, modernization approach, AI adoption patterns, and quality expectations.
- Remain hands-on in the work by designing, coding, reviewing, testing, and troubleshooting software while helping other developers deliver well-architected solutions.
- Use AI-assisted development tools and create fit-for-purpose agents and agentic workflows using frameworks such as LangGraph, A2A, MCP-enabled tools, or similar approaches when they are the right solution for a client or delivery challenge.
This role is both hands-on and leadership oriented. You will write code, review AI-generated output, guide architectural decisions, mentor developers, establish delivery patterns, and help teams use AI responsibly to build and modernize software faster without sacrificing quality, security, or maintainability.
Key Responsibilities
- Lead a team of developers through new application builds and modernization programs while remaining actively involved in design, coding, review, testing, and troubleshooting
- Set technical direction for projects, including architecture, integration patterns, modernization strategy, engineering standards, delivery approach, and technical risk management
- Use AI-assisted development tools to accelerate code comprehension, generation, refactoring, testing, documentation, and migration planning while ensuring that outputs are validated by experienced engineering judgment
- Architect and build fit-for-purpose agents and agentic workflows using frameworks such as LangGraph, A2A, MCP-enabled tools, or comparable technologies
- Guide modernization of existing applications by analyzing legacy code, identifying business logic, assessing constraints, defining target architecture, and creating incremental transformation roadmaps
- Make pragmatic architecture decisions across APIs, data models, cloud services, security, observability, integration, DevSecOps, and user experience considerations
- Mentor developers in software engineering practices, AI-assisted delivery techniques, secure coding, automated testing, maintainable design, and effective code review
- Collaborate with architects, product owners, business stakeholders, client technical teams, and delivery leaders to translate business needs into executable technical plans
- Identify and manage risks in AI-generated software, including brittle code, hidden assumptions, weak tests, security issues, licensing concerns, maintainability gaps, and architecture drift
- Create reusable patterns, accelerators, prompts, agents, reference architectures, and engineering practices that help the broader team deliver modernization work more effectively
Who You Are
You are a senior developer and technical leader who still enjoys building useful software and solving hard problems. You have seen enough delivery challenges to recognize patterns, anticipate risks, and help a team choose the right architecture and engineering approach for the situation.
You have led developers through either new software development projects, application modernization efforts, or both. You know how to establish technical direction, break complex work into deliverable increments, coach developers through tradeoffs, and keep the team focused on building software that is secure, maintainable, testable, and aligned to business outcomes.
You are excited by the changes coming to software development. You have a growth mindset, actively experiment with AI-assisted development tools, and are interested in creating practical agents, workflows, and engineering practices that help teams build, understand, modernize, and operate software more effectively.
Required Technical and Professional Expertise
- Significant hands-on software development experience delivering production-quality applications
- Experience leading a team of developers, including mentoring, code review, technical planning, delivery guidance, and issue resolution
- Experience setting technical direction for software delivery projects, including architecture decisions, engineering standards, delivery patterns, and technical risk management
- Experience with at least one modern programming language such as Java, Python, JavaScript/TypeScript, C#, Go, or comparable technologies
- Experience with either new application development, application modernization, or both
- Practical experience using AI-assisted development tools to support coding, refactoring, testing, documentation, debugging, code comprehension, and architecture exploration
- Experience reviewing and validating AI-generated code for correctness, security, maintainability, performance, testability, and alignment with architecture and requirements
- Familiarity with agentic development concepts and experience building or prototyping fit-for-purpose agents using LangGraph, A2A, MCP-enabled tools, or similar frameworks
- Strong understanding of software architecture and engineering fundamentals, including APIs, data models, integration patterns, automated testing, version control, CI/CD, secure coding, observability, and operational support
- Ability to analyze existing codebases, identify modernization opportunities, define target-state architecture, and create pragmatic incremental transformation plans
- Ability to communicate technical direction clearly to developers, architects, stakeholders, and client teams
- Growth mindset and enthusiasm for how AI will reshape the software development profession
Preferred Technical and Professional Experience
- Experience modernizing legacy applications, including mainframe, Fortran, J2EE, ASP, monolithic, or other enterprise application estates
- Experience architecting cloud-native applications, APIs, microservices, event-driven systems, or modern front-end experiences
- Hands-on experience with LangGraph, A2A, MCP, OpenAI or Anthropic APIs, Semantic Kernel, CrewAI, or comparable agent and orchestration frameworks
- Experience designing agents that interact with enterprise tools, repositories, documentation, tickets, CI/CD pipelines, runtime telemetry, or application data
- Experience defining architecture guardrails, reference implementations, coding standards, reusable components, or engineering playbooks for delivery teams
- Familiarity with DevSecOps practices, automated quality gates, observability, containerization, infrastructure as code, and secure software delivery pipelines
- Experience with retrieval-augmented generation, vector databases, tool calling, evaluation harnesses, prompt engineering, LLM application testing, or agent observability
- Experience working in Agile delivery environments with product owners, architects, business stakeholders, client executives, and distributed engineering teams
Ability to mentor and influence other developers in practical, responsible, and effective use of AI-assisted software development practices
The Role
We are seeking a hands-on Senior Software Developer / Technical Lead with an AI focus to help us lead teams that build new applications and modernize existing ones for our clients. You will work as part of an AI Led Application Modernization team that believes the way software is designed, built, tested, and maintained is changing quickly—and that senior technical leaders have an opportunity to shape how teams adopt these changes responsibly and effectively. Among your responsibilities will be:
- Set technical direction for delivery teams, including architecture, engineering practices, modernization approach, AI adoption patterns, and quality expectations.
- Remain hands-on in the work by designing, coding, reviewing, testing, and troubleshooting software while helping other developers deliver well-architected solutions.
- Use AI-assisted development tools and create fit-for-purpose agents and agentic workflows using frameworks such as LangGraph, A2A, MCP-enabled tools, or similar approaches when they are the right solution for a client or delivery challenge.
This role is both hands-on and leadership oriented. You will write code, review AI-generated output, guide architectural decisions, mentor developers, establish delivery patterns, and help teams use AI responsibly to build and modernize software faster without sacrificing quality, security, or maintainability.
Key Responsibilities
- Lead a team of developers through new application builds and modernization programs while remaining actively involved in design, coding, review, testing, and troubleshooting
- Set technical direction for projects, including architecture, integration patterns, modernization strategy, engineering standards, delivery approach, and technical risk management
- Use AI-assisted development tools to accelerate code comprehension, generation, refactoring, testing, documentation, and migration planning while ensuring that outputs are validated by experienced engineering judgment
- Architect and build fit-for-purpose agents and agentic workflows using frameworks such as LangGraph, A2A, MCP-enabled tools, or comparable technologies
- Guide modernization of existing applications by analyzing legacy code, identifying business logic, assessing constraints, defining target architecture, and creating incremental transformation roadmaps
- Make pragmatic architecture decisions across APIs, data models, cloud services, security, observability, integration, DevSecOps, and user experience considerations
- Mentor developers in software engineering practices, AI-assisted delivery techniques, secure coding, automated testing, maintainable design, and effective code review
- Collaborate with architects, product owners, business stakeholders, client technical teams, and delivery leaders to translate business needs into executable technical plans
- Identify and manage risks in AI-generated software, including brittle code, hidden assumptions, weak tests, security issues, licensing concerns, maintainability gaps, and architecture drift
- Create reusable patterns, accelerators, prompts, agents, reference architectures, and engineering practices that help the broader team deliver modernization work more effectively
Who You Are
You are a senior developer and technical leader who still enjoys building useful software and solving hard problems. You have seen enough delivery challenges to recognize patterns, anticipate risks, and help a team choose the right architecture and engineering approach for the situation.
You have led developers through either new software development projects, application modernization efforts, or both. You know how to establish technical direction, break complex work into deliverable increments, coach developers through tradeoffs, and keep the team focused on building software that is secure, maintainable, testable, and aligned to business outcomes.
You are excited by the changes coming to software development. You have a growth mindset, actively experiment with AI-assisted development tools, and are interested in creating practical agents, workflows, and engineering practices that help teams build, understand, modernize, and operate software more effectively.
Required Technical and Professional Expertise
- Significant hands-on software development experience delivering production-quality applications
- Experience leading a team of developers, including mentoring, code review, technical planning, delivery guidance, and issue resolution
- Experience setting technical direction for software delivery projects, including architecture decisions, engineering standards, delivery patterns, and technical risk management
- Experience with at least one modern programming language such as Java, Python, JavaScript/TypeScript, C#, Go, or comparable technologies
- Experience with either new application development, application modernization, or both
- Practical experience using AI-assisted development tools to support coding, refactoring, testing, documentation, debugging, code comprehension, and architecture exploration
- Experience reviewing and validating AI-generated code for correctness, security, maintainability, performance, testability, and alignment with architecture and requirements
- Familiarity with agentic development concepts and experience building or prototyping fit-for-purpose agents using LangGraph, A2A, MCP-enabled tools, or similar frameworks
- Strong understanding of software architecture and engineering fundamentals, including APIs, data models, integration patterns, automated testing, version control, CI/CD, secure coding, observability, and operational support
- Ability to analyze existing codebases, identify modernization opportunities, define target-state architecture, and create pragmatic incremental transformation plans
- Ability to communicate technical direction clearly to developers, architects, stakeholders, and client teams
- Growth mindset and enthusiasm for how AI will reshape the software development profession
Preferred Technical and Professional Experience
- Experience modernizing legacy applications, including mainframe, Fortran, J2EE, ASP, monolithic, or other enterprise application estates
- Experience architecting cloud-native applications, APIs, microservices, event-driven systems, or modern front-end experiences
- Hands-on experience with LangGraph, A2A, MCP, OpenAI or Anthropic APIs, Semantic Kernel, CrewAI, or comparable agent and orchestration frameworks
- Experience designing agents that interact with enterprise tools, repositories, documentation, tickets, CI/CD pipelines, runtime telemetry, or application data
- Experience defining architecture guardrails, reference implementations, coding standards, reusable components, or engineering playbooks for delivery teams
- Familiarity with DevSecOps practices, automated quality gates, observability, containerization, infrastructure as code, and secure software delivery pipelines
- Experience with retrieval-augmented generation, vector databases, tool calling, evaluation harnesses, prompt engineering, LLM application testing, or agent observability
- Experience working in Agile delivery environments with product owners, architects, business stakeholders, client executives, and distributed engineering teams
Ability to mentor and influence other developers in practical, responsible, and effective use of AI-assisted software development practices
See All 209+ Remote AI Software Developer Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsRemote AI Software Developer Job Market
Who's Hiring
- CVS Health51
- Advanced Monitored Caregiving24A
- Serko4
- Aledade4
- GitHub3
Top Industries Hiring
- Healthcare & Medical Services49
- Technology & Software15
- Consulting & Professional Services6
- Education2
- Insurance2
What Employers Look For
The qualifications that appear most often in remote AI software developer jobs.
- Proficiency in Python and at least one deep learning framework such as PyTorch or TensorFlow
- Experience training, fine-tuning, or deploying large language models or neural networks
- Familiarity with MLOps tools and workflows including model versioning, monitoring, and CI/CD pipelines
- Strong foundation in linear algebra, probability, statistics, and algorithm design
- Bachelor's or master's degree in computer science, machine learning, or a related engineering field
- Experience with cloud platforms such as AWS, GCP, or Azure for model training and inference at scale
Tips for Your Remote AI Software Developer Job Search
Show async communication in your application
Remote ai software developer teams collaborate through written channels, not meetings. Include a well-structured project README, a technical blog post, or a documented model card in your portfolio to show hiring managers you can communicate complex AI decisions clearly in writing without being in the same room.
Apply early to remote roles that fit
Migrate Mate lists remote ai software developer openings from companies hiring across the U.S. in one place. You can find roles that match your stack and experience and apply directly, so you're not sorting through postings that don't fit your background.
Build a portfolio around deployed AI systems
Remote employers care more about what you've shipped than what you've studied. Publish end-to-end projects that show model selection, fine-tuning, evaluation, and deployment using tools like Hugging Face, LangChain, or a major cloud ML platform so reviewers can see real, working output.
Prepare for remote-style technical interviews
Remote ai software developer interviews often include async take-home assessments or collaborative coding sessions over shared environments rather than whiteboard formats. Practice explaining your architectural decisions in writing and be ready to walk through model performance trade-offs on a live call with your camera on.
Remote AI Software Developer Jobs: Frequently Asked Questions
How do I get a remote ai software developer job?
Remote ai software developer roles go to candidates who can demonstrate both technical depth and the ability to work independently without daily supervision. Remote employers screen heavily for experience with LLM frameworks, model fine-tuning, and MLOps tooling, plus strong written communication for async collaboration. A public GitHub portfolio with deployed AI projects, contributions to open-source ML libraries, or documented end-to-end model work gives your application a concrete edge over generic resumes.
Which companies hire remote ai software developers?
Companies hiring remote ai software developers right now include CVS Health, Advanced Monitored Caregiving, and Serko, based on current remote listings on Migrate Mate as of August 2026. Remote-first technology firms, distributed SaaS companies, and AI-native startups across software, healthcare, and fintech sectors account for the largest share of remote postings for this role.
Can you get a remote ai software developer job with no experience?
Yes, but remote entry-level ai software developer roles are harder to land because employers expect you to ramp up independently with minimal hand-holding. AI-native startups and remote-first product companies are the most likely to hire junior candidates. What opens the door is a demonstrable project portfolio, whether personal AI tools, open-source contributions, or completed coursework with deployed outputs, that shows you can ship real work without close oversight.
Do you need a degree for remote ai software developer jobs?
Not always. Remote employers hiring ai software developers weigh demonstrable technical skills, a strong project portfolio, and hands-on experience with AI frameworks heavily alongside formal credentials. A degree in computer science or a related field helps at larger companies, but many remote-first firms and AI startups prioritize what you've built and deployed over where you studied.
Which industries hire the most remote ai software developers?
Most remote ai software developer openings sit in Healthcare & Medical Services, Technology & Software, and Consulting & Professional Services, per current remote listings on Migrate Mate as of August 2026. These sectors rely on distributed engineering teams and invest heavily in AI-driven products, making remote ai software developer roles a core part of their hiring.
See All 209+ Remote AI Software Developer Jobs
Find roles that match your experience and apply in just a few clicks.
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