Backend AI Engineer Jobs

Backend AI Engineer jobs are open across tech, fintech, healthcare, and enterprise software, from new-grad to principal and staff levels, with specializations in LLM integration, model serving infrastructure, and AI pipeline development. Find a role that fits below and apply directly.

Find Backend AI Engineer JobsLooking for remote work? View remote backend AI engineer jobs →

Overview

Open roles255+
Top stateCalifornia
Top employerCVS Health
Top citySan Francisco, CA
Work type49% Hybrid
Top industryTechnology

Showing 5 of 255+ Backend AI Engineer jobs

Pharmacy Technician Back End
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New 13h ago
Pharmacy Technician Back End
CVS Health
San Antonio, Texas
Healthcare Administration
Maintenance & Repair
Patient Services & Wellbeing
$16 - $26.21/hr
PTCB Certification
10,000+

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Registered Nurse (RN) - Back End Days
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New 23h ago
Registered Nurse (RN) - Back End Days
Connections Health Solutions
Phoenix, Arizona
Healthcare Administration
Nursing
Patient Services & Wellbeing
Bachelor's degree

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Java Backend Developer with AWS and AI Expereince
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New 23h ago
Java Backend Developer with AWS and AI Expereince
Infosys
New York, New York
Software Engineering
Technical Product & Program Management
$82k - $107k/yr
10,000+

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Account Resolution Specialist - USFTGP UMSA RCO Back End
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Added 1d ago
Account Resolution Specialist - USFTGP UMSA RCO Back End
Tampa General Hospital
Tampa, Florida
Healthcare Administration
Patient Services & Wellbeing
Public Health
Hybrid
High school diploma or GED
10,000+

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SDC BCMT Back End Engineer---Manager----Charlotte
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Added 1d ago
SDC BCMT Back End Engineer---Manager----Charlotte
EY
Charlotte, North Carolina
Backend Engineering
Full-stack Engineering
Software Engineering
$104k - $225k/yr
Bachelor's degree in engineering
10,000+

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Backend AI Engineer Job Market

Who's Hiring

  • CVS Health29
  • ALTRUIST16
  • Tillster11
  • ASML6
  • Esri5

Top Industries Hiring

  • Technology & Software19
  • Insurance6
  • Hospitality & Tourism3
  • Sports & Recreation2
  • Electronics & Hardware2

What Employers Look For

The qualifications that appear most often in 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 Backend AI Engineer Job Search

Tailor your resume for inference systems

Hiring managers for backend AI roles scan for experience with model serving frameworks, latency optimization, and scalable inference pipelines. List specific tools you've used to deploy or optimize models in production, not just model training or experimentation work.

Show your production AI portfolio

A GitHub repo with a deployed LLM-powered API, a retrieval-augmented generation system, or a vector search integration signals hands-on production experience. Link directly to working code or architecture diagrams, not just notebooks or proof-of-concept demos.

Apply early to roles that fit

Migrate Mate lists backend AI engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.

Target job titles with precision

Backend AI engineer roles appear under titles like AI Platform Engineer, ML Infrastructure Engineer, and LLM Backend Engineer. Searching only one title means missing a large share of relevant openings, so vary your search terms when looking for positions.

Prepare for system design with AI constraints

Interviews at AI-focused companies frequently include system design questions specific to AI workloads: how you'd architect a low-latency embedding service, handle GPU resource contention, or design a prompt caching layer. Practice these scenarios, not just generic distributed systems problems.

Negotiate around compute access and tooling

Beyond base compensation, ask about GPU cluster access, cloud compute budgets, and whether the team runs its own inference infrastructure or relies on third-party APIs. These factors directly affect the complexity and scope of the work you'll own.

Backend AI Engineer Jobs: Frequently Asked Questions

Which companies are hiring the most backend ai engineers?

CVS Health, ALTRUIST, and Tillster are hiring the most backend ai engineers right now, with openings concentrated in California, Texas, and New York, based on current listings on Migrate Mate as of November 2026. Demand is especially strong at companies building proprietary AI products rather than integrating off-the-shelf models.

How many backend ai engineer jobs are remote?

About 68% of backend ai engineer openings are fully remote or hybrid as of November 2026, reflecting strong remote culture across the broader software engineering market. Roles focused on LLM API integration and AI platform infrastructure tend to be the most remote-friendly, while positions requiring on-site GPU cluster management lean toward hybrid or in-office arrangements.

How do you become a backend ai engineer?

Start by building strong foundations in backend engineering, including distributed systems, API design, and cloud infrastructure. Then layer in hands-on experience with model serving, vector search, and prompt engineering by building personal projects or contributing to open-source AI tooling. Deploying a working LLM-powered service end-to-end is the most direct way to demonstrate readiness for the role.

How do you get hired as a backend ai engineer with little or no experience?

Focus on building a small but complete project that shows you can take an AI feature from idea to deployed API, even if the scale is modest. Contributing to open-source inference frameworks or vector database clients builds credibility fast. Applying to companies with AI platform teams rather than pure AI research labs gives you a better shot at entry-level backend AI roles.

What does the backend ai engineer interview process look like?

Most backend AI engineer interviews include a recruiter screen, a technical phone round covering Python and APIs, and a multi-stage onsite covering data structures, system design for AI workloads, and sometimes a take-home coding exercise involving a small model integration. Final rounds often include a conversation with engineering leadership about architecture decisions and production incident experience.

Where can I find and apply to backend ai engineer jobs?

You can find and apply to backend AI engineer jobs on Migrate Mate, which lists current openings from across the United States. Find roles that match your experience and specialization, then apply directly to each listing from the job page.

See All 255+ Backend AI Engineer Jobs

Find roles that match your experience and apply in just a few clicks.

Find Backend AI Engineer Jobs