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 Advanced Monitored Caregiving, VetsEZ, and Zillow, with demand concentrated in software, fintech, and healthcare tech. Scan the live roles below and apply to whichever ones fit.
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Who We Are
Located in Houston, Texas, Teachers of Tomorrow is the leading national alternative certification program (ACP) provider with plans of continued growth in 2026! Through quality instruction and unparalleled support – Teachers of Tomorrow provides the most effective preparation for educators to make a meaningful difference in the lives of their students.
At Teachers of Tomorrow, we believe in empowering the next generation of educators by providing the highest level of training, mentorship, and support. Our mission is to transform classrooms and communities through innovation, collaboration, and a deep commitment to teacher success. To find out more, visit https://www.teachersoftomorrow.org
About the Position
As we expand nationally, we are investing in intelligent automation and applied AI to streamline operations and improve candidate experience. We are seeking a hands-on Automation & Applied AI Engineer who enjoys building workflows, integrating systems, and extending conversational AI into real business processes. This is a strong individual contributor role focused on implementation and optimization, not enterprise architecture. You will work closely with IT leadership and business stakeholders to turn requirements into reliable automation solutions
What You Will Do:
Key Responsibilities:
Workflow & Process Automation
- Build and maintain automation workflows using tools similar to Microsoft Power Platform/Azure Logic Apps
- Improve and refactor existing workflows for reliability and maintainability
- Troubleshoot automation issues in production environments
- Ensure proper error handling and logging within automated processes
Conversational AI & Tool Integration
- Implement conversational AI systems using Azure OpenAI or similar LLM platforms
- Configure and implement function calling / tool invocation to enable AI-driven actions
- Integrate chatbot workflows with internal systems via REST APIs
- Define structured outputs and JSON schemas to support reliable AI-to-system communication
- Assist in building and maintaining MCP (Model Context Protocol) servers or similar middleware to extend AI capabilities
Integrations & Data Handling
- Connect systems using REST APIs, webhooks, and JSON-based payloads
- Transform and validate data across CRM, marketing, and internal systems
- Support reporting and monitoring of automated processes
- Act in accordance with Teachers of Tomorrow core values Perform other duties as needed.
What We are Looking For
Required:
- 4–7 years of experience in automation, systems integration, or process improvement
- Hands-on experience with Microsoft Power Platform and/or Azure Logic Apps
- Experience working with REST APIs and JSON
- Exposure to LLM-based systems (Azure AI Factory, OpenAI, or similar)
- Experience implementing function calling or tool-based AI integrations
- Strong troubleshooting and debugging skills
- Ability to work independently and take ownership of deliverables
Nice to Have
- Experience with MCP or similar AI tool-extension frameworks
- Light backend development experience (Node.js, C#, or similar)
- SQL knowledge
- Power BI or Microsoft Fabric exposure
What We Offer
We understand that our people are the most important factor to our success. As a result, we value and invest in our people through:
- Medical, Dental, and Vision plans
- Employer paid STD and Basic Life/AD&D
- Voluntary buy up LTD, Life Insurance, Critical Illness, Accident, and additional wellness options
- 401k Plan with Company Safe Harbor Matching
- Flexible PTO Plan
- 12 paid holidays annually
- Personal and Professional Development
Why Join Teachers of Tomorrow?
At Teachers of Tomorrow, we are committed to addressing the teacher shortage crisis by preparing highly effective educators through innovative alternative certification pathways.
Teachers of Tomorrow is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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Find JobsRemote Applied AI Engineer Job Market
Who's Hiring
- Advanced Monitored Caregiving24A
- VetsEZ2

- Zillow2

- Innodata2

- Snorkel AI2

Top Industries Hiring
- Technology & Software
- Construction & Real Estate
- Insurance
- Biotechnology & Pharmaceuticals
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 Advanced Monitored Caregiving, VetsEZ, and Zillow, based on current remote listings on Migrate Mate as of August 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, Construction & Real Estate, and Insurance, per current remote listings on Migrate Mate as of August 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.
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