Remote Backend AI Engineer Jobs
Remote Backend AI Engineer jobs are open across the U.S. in sectors like AI infrastructure, cloud platforms, fintech, and enterprise SaaS, where distributed teams build and scale the systems that power machine learning products. Remote-first companies and large technology organizations are actively hiring, from mid-level engineers to staff-level specialists, and employers hiring remotely right now include Superhuman, General Dynamics Information Technology, and HII. See the openings below and apply to the ones that match your experience.
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Showing 5 of 23+ Remote Backend AI Engineer jobs
Description
Medical Certified is responsible for accurate coding, charge verification, and data abstraction necessary for billing in various professional healthcare settings. Works from the appropriate documentation in the medical record. Classification systems include ICD-10, CPT, HCPCS, as well as other specialty systems as required by diagnostic category. This position plays a critical role in ensuring compliance with established coding guidelines and regulations to guarantee proper reimbursement.
Qualifications
Required:
High School Diploma or GED
Certification
Certified Professional Coder - CPC
Certified Coding Specialist Physician - CCS-P
Work Experience and Additional Information
Minimum of two (2) years in practical coding experience is required. Coders are held to high standards; best practice is to achieve a greater than 95% accuracy rate during coding assessments.
Primary Location
: TampaWork Locations
:Job
: Health Information ManagementOrganization
: InterHealthShift
: Day JobJob Type
: RemoteMinimum Salary
: 40.00Job Posting
: Nov 9, 2026, 1:59:16 PMDescription
Medical Certified is responsible for accurate coding, charge verification, and data abstraction necessary for billing in various professional healthcare settings. Works from the appropriate documentation in the medical record. Classification systems include ICD-10, CPT, HCPCS, as well as other specialty systems as required by diagnostic category. This position plays a critical role in ensuring compliance with established coding guidelines and regulations to guarantee proper reimbursement.
Qualifications
Required:
High School Diploma or GED
Certification
Certified Professional Coder - CPC
Certified Coding Specialist Physician - CCS-P
Work Experience and Additional Information
Minimum of two (2) years in practical coding experience is required. Coders are held to high standards; best practice is to achieve a greater than 95% accuracy rate during coding assessments.
Primary Location
: TampaWork Locations
:Job
: Health Information ManagementOrganization
: InterHealthShift
: Day JobJob Type
: RemoteMinimum Salary
: 40.00Job Posting
: Nov 9, 2026, 1:59:16 PMSee All 23 Remote Backend AI Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsRemote Backend AI Engineer Job Market
Who's Hiring
What Employers Look For
The qualifications that appear most often in remote backend AI engineer jobs.
- Proficiency in Python and at least one compiled language such as Go or Rust
- Hands-on experience deploying and serving large language models in production
- Familiarity with vector databases such as Pinecone, Weaviate, or pgvector
- Experience building and maintaining REST or gRPC APIs at scale
- Knowledge of MLOps tooling including model versioning, monitoring, and CI/CD pipelines
- Bachelor's degree in computer science, machine learning, or a related engineering field
Tips for Your Remote Backend AI Engineer Job Search
Apply early to remote roles that fit
Migrate Mate lists remote backend ai engineer openings from across the U.S. in one place, so you can find roles that match your stack and apply directly. Remote postings at well-known companies fill fast, so checking listings regularly and applying the same day gives you an advantage.
Show async work in your portfolio
Remote employers want proof you can communicate and ship work without real-time oversight. Include README files, architecture decision records, and inline code documentation in your public repositories to demonstrate the written communication habits that remote backend ai engineer teams rely on daily.
Signal ML infrastructure depth early
Remote hiring for backend ai engineers moves through technical screens fast. Front-load your resume and cover message with concrete experience in model serving, vector databases, ML pipeline orchestration, or LLM API integration, because those keywords determine whether a distributed team reads further.
Prepare for async technical interviews
Many remote-first companies use take-home projects or asynchronous code reviews instead of live coding sessions. Practice writing clean, well-documented backend code you can defend in a follow-up video call, and treat every take-home as a chance to show how you reason through design decisions in writing.
Remote Backend AI Engineer Jobs: Frequently Asked Questions
How do I get a remote backend ai engineer job?
Remote backend ai engineer roles go to candidates who can demonstrate strong asynchronous communication, self-directed problem-solving, and ownership of distributed systems without in-person oversight. Remote employers screen heavily for experience with API design, model serving infrastructure, and ML pipeline tooling. A portfolio of shipped backend work, clear written documentation habits, and familiarity with async collaboration tools like Slack, Linear, or Notion gives you a real edge over candidates who only list skills.
Which companies hire remote backend ai engineers?
Remote backend ai engineer roles are posted by Superhuman, General Dynamics Information Technology, and HII and others right now, based on current remote listings on Migrate Mate as of November 2026. Remote-first technology firms, AI product startups, and distributed enterprise teams across software, fintech, and healthcare sectors are the most consistent sources of these openings.
Can you get a remote backend ai engineer job with no experience?
Yes, but remote entry-level backend ai engineer roles are harder to land because employers expect you to work independently from day one with minimal hand-holding. AI-focused startups and early-stage remote teams are more open to junior hires than large enterprises. A strong GitHub portfolio of backend projects that touch model inference, data pipelines, or API integration, combined with clear written communication skills, can substitute meaningfully for a formal work history.
Do you need a degree for remote backend ai engineer jobs?
Not always. Remote employers in this space weigh demonstrated backend engineering ability, ML systems knowledge, and shipped code over formal credentials. A computer science degree helps at larger companies with structured hiring, but many remote-first firms and AI startups evaluate candidates on their portfolio, open-source contributions, and ability to reason through distributed systems problems during the technical interview.
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