Mid Level Backend AI Engineer Jobs

Mid level backend ai engineer jobs go to engineers ready to own services end to end, make architectural decisions with limited oversight, and raise the technical bar for the engineers around them. Openings run across on-site, remote, and hybrid settings in Hospitality & Tourism, Technology & Software, and Sports & Recreation, with employers like Caesars Entertainment, BRAIN, and Commure hiring at this level now.

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Overview

Open roles11
Top stateCalifornia
Top employerCaesars Entertainment
Top citySan Francisco, CA
Work type100% On-site
Top industryHospitality

Showing 5 of 11+ Mid Level Backend AI Engineer jobs

Senior Back End Engineer
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Senior Back End Engineer
ALTRUIST
San Francisco, California
Software Engineering
Data Engineering
Backend Engineering
$200k - $240k/yr
On-Site
Bachelor's
11-50

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Senior AI Backend Engineer
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Senior AI Backend Engineer
Klarity
San Francisco, California
Software Engineering
Technical Product & Program Management
Backend Engineering
AI (Artificial Intelligence)
Technical Program Management
$220k - $280k/yr
On-Site
None

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Back End Engineer (All Levels)
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Added 2mo ago
Back End Engineer (All Levels)
Bilt Rewards
New York, New York
Cloud Engineering
DevOps
Software Engineering
$170k - $300k/yr

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Thin Films Equipment Technician Back End Nights
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Added 3mo ago
Thin Films Equipment Technician Back End Nights
Wolfspeed
Marcy, New York
Electrical Engineering
Engineering (Non-Software)
Specialized Engineering
$21 - $30/hr
Associate of Applied Science

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Senior Back-End Software Engineer
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Added 5mo ago
Senior Back-End Software Engineer
SIGMATECH
Huntsville, Alabama
Backend Engineering
Full-stack Engineering
Software Engineering
Bachelor's degree
51-200

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Mid Level Backend AI Engineer Job Market

Who's Hiring

Caesars Entertainment3 open roles
BRAIN1 open role
Commure1 open role

Top Industries Hiring

  • Hospitality & Tourism
  • Technology & Software
  • Sports & Recreation
  • Banking & Financial Services
  • Electronics & Hardware

Mid Level Backend AI Engineer Jobs: Frequently Asked Questions

How do I get a mid level backend ai engineer job?

Position yourself around ownership, not just contribution. Highlight projects where you designed or shipped a system component independently, made trade-off decisions, or unblocked teammates. Concrete impact matters more than time in the role, so lead with outcomes in your resume: latency improvements, throughput gains, cost reductions, or model accuracy lifts tied to work you drove.

Which companies hire mid level backend ai engineers?

Companies hiring mid level backend ai engineers right now include Caesars Entertainment, BRAIN, and Commure, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from both large tech organizations scaling AI infrastructure and growth-stage companies building their first production AI systems.

Are there remote mid level backend ai engineer jobs?

Yes, though availability varies by employer and stack. About 0% of mid level backend ai engineer openings are remote or hybrid as of November 2026, reflecting broad demand for engineers who can work asynchronously on distributed teams building AI-powered systems.

How do I move up to a mid level backend ai engineer role?

The jump from junior to mid level happens when you consistently take full ownership of a feature or service rather than completing assigned tasks within someone else's design. Build toward that by deepening specialization in one area, such as model serving, data pipelines, or inference optimization, shipping something from design to production, and demonstrating that your work needed minimal revision.

Which industries hire the most mid level backend ai engineers?

Mid Level backend ai engineer roles concentrate in Hospitality & Tourism, Technology & Software, and Sports & Recreation, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they are actively moving AI prototypes into production, creating sustained demand for engineers who can build reliable, scalable backend systems around machine learning models.