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Ai Backend Developer Jobs in Orem, UT (NOW HIRING)

This is not a narrow frontend, backend, ML, or prompt-engineering role. We're looking for someone who can own a full product workflow end-to-end and use AI to move faster, fill gaps, prototype ...

Senior Software Engineer - Backend

American Fork, UT · On-site

$109K - $144K/yr

... power our cutting-edge IoT and Agentic AI platforms. Operating within a high-velocity ... Proven Senior Engineering Experience: 5+ years of professional backend software engineering ...

Senior Software Engineer - Backend

American Fork, UT · On-site

$109K - $144K/yr

... AI-driven, actionable intelligence that makes sites smarter, safer, and more secure. Since ... Proven Senior Engineering Experience: 5+ years of professional backend software engineering ...

Senior Software Engineer - Backend

American Fork, UT · On-site

$109K - $144K/yr

... AI-driven, actionable intelligence that makes sites smarter, safer, and more secure. Since ... Proven Senior Engineering Experience: 5+ years of professional backend software engineering ...

Senior Software Engineer, Predict

Lehi, UT · Hybrid

$115K - $151K/yr

You will have the opportunity to work alongside senior technical leadership, including our Principal Back-End Engineer, gaining exposure to global-scale architecture and cutting-edge AI integration ...

Senior Software Engineer, Predict

Lehi, UT · On-site

$115K - $151K/yr

You will have the opportunity to work alongside senior technical leadership, including our Principal Back-End Engineer, gaining exposure to global-scale architecture and cutting-edge AI integration ...

Senior Software Engineer, Predict

Lehi, UT · Hybrid

$115K - $151K/yr

You will have the opportunity to work alongside senior technical leadership, including our Principal Back-End Engineer, gaining exposure to global-scale architecture and cutting-edge AI integration ...

Senior Software Engineer

Holladay, UT

$118K - $155K/yr

This role requires strong backend engineering expertise (Java), robust frontend development skills ... Experience in AI coding assistants tools like GitHub Copilot, Cursor, Claude Code, or Codex for ...

Showing results 21-40

Ai Backend Developer information

See Orem, UT salary details

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How much do ai backend developer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for ai backend developer in Orem, UT is $50.19, according to ZipRecruiter salary data. Most workers in this role earn between $41.15 and $59.33 per hour, depending on experience, location, and employer.

What is an AI backend developer?

AI Backend Developers are software engineers who specialize in building and maintaining the server-side infrastructure that powers artificial intelligence applications. They design APIs, manage databases, and implement algorithms that support machine learning models and AI-driven features. Their work ensures that AI systems are scalable, efficient, and securely integrated with other services. AI Backend Developers often work closely with data scientists and frontend developers to deliver end-to-end AI solutions.

What skills and qualifications are needed to be an AI backend developer?

To thrive as an AI Backend Developer, you need strong programming skills (especially in Python or Java), a solid grasp of machine learning concepts, and experience with backend frameworks, supported by a degree in computer science or a related field. Familiarity with cloud platforms (like AWS or Azure), containerization tools (such as Docker), and frameworks like TensorFlow or PyTorch is typically required, along with knowledge of RESTful APIs and databases. Problem-solving abilities, teamwork, and clear communication are essential soft skills that help navigate complex projects and collaborate with cross-functional teams. These technical and interpersonal skills ensure robust, scalable AI solutions are developed and maintained efficiently in a rapidly evolving field.

How does an AI backend developer interact with data scientists and frontend teams?

As an AI Backend Developer, you will frequently collaborate with data scientists to integrate machine learning models into scalable backend systems. This involves translating prototypes into production-ready APIs, ensuring data pipelines are robust, and optimizing inference performance. You’ll also work closely with frontend teams to define API contracts and ensure that data flows smoothly between the user interface and backend processes. Effective communication and teamwork are essential, as these collaborations help deliver seamless AI-powered features to end users.

What is the difference between Ai Backend Developer vs Data Engineer?

AspectAi Backend DeveloperData Engineer
Required CredentialsBachelor's in CS, AI, or related fields; knowledge of AI frameworksBachelor's in CS, Data Science, or related fields; expertise in data pipelines
Work EnvironmentDeveloping AI models, integrating AI into backend systemsBuilding and maintaining data infrastructure and pipelines
Employer & Industry UsageTech companies, AI startups, enterprises integrating AIData-driven companies, finance, healthcare, tech firms

While both roles require strong programming skills and familiarity with data processing, Ai Backend Developers focus on integrating AI models into backend systems, whereas Data Engineers specialize in building data pipelines and infrastructure. Both roles are essential in AI-driven projects but serve different functions within the data ecosystem.

What are popular job titles related to Ai Backend Developer jobs in Orem, UT?

For Ai Backend Developer jobs in Orem, UT, the most frequently searched job titles are:

What cities near Orem, UT are hiring for Ai Backend Developer jobs?

Cities near Orem, UT with the most Ai Backend Developer job openings:

Infographic showing various Ai Backend Developer job openings in Orem, UT as of August 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $104,399 per year, or $50.2 per hour.

AI Product Builder

Motivosity

Lehi, UT • On-site

Full-time

Re-posted 28 days ago


Job description

About Motivosity
Motivosity is an employee recognition, rewards, and engagement platform. We help companies build cultures where people feel seen, connected, and appreciated - through peer-to-peer recognition, awards and milestones, spending accounts, manager tools, and eNPS surveys that track how engagement moves over time.
Our engineering mission is to delight customers through unparalleled speed, quality, and reliability. That commitment is concrete: rewards and recognition are delivered on time, to the right person, with the correct reward; every financial transaction is recorded and reconciled; and the platform is built to scale to companies of 100,000+ employees without disruption.
About the role
We're hiring an AI Product Builder to help us turn Motivosity into an AI-first platform - and to ship the practical AI features and internal tools that prove it.
Motivosity is putting more product ownership and decision-making into the hands of the people closest to the code, the customer problem, and the technical possibilities. This is not a narrow frontend, backend, ML, or prompt-engineering role. We're looking for someone who can own a full product workflow end-to-end and use AI to move faster, fill gaps, prototype quickly, and ship useful software.
The goal is not flashy demos. The goal is to ship software that saves time, improves quality, and creates measurable value for our customers and internal teams - in a recognition-and-rewards space where we intend to be the technology leader for AI.
What you'll do
  • Own AI-powered product and internal workflow projects from start to finish.
  • Turn ambiguous ideas into working software without needing every requirement defined upfront.
  • Make product and technical decisions based on customer value, feasibility, risk, and speed of learning.
  • Build across the full stack: frontend, backend, APIs, databases, integrations, AI workflows, tests, and deployment.
  • Use AI tools as your default execution layer for design, coding, testing, debugging, documentation, and analysis - then apply your own judgment to review and approve the result.
  • Build practical AI features using LLMs, structured outputs, retrieval, agents, and tool-calling where appropriate.
  • Create simple evals and feedback loops to verify AI features actually work.
  • Monitor usage, quality, cost, latency, errors, and user feedback after launch.
  • Work directly with product, engineering, support, customer success, and leadership to find high-value problems.
  • Ship small, useful things quickly and iterate based on real usage.

What we're looking for
  • Strong full-stack engineering experience and the ability to own production-quality code.
  • Ability to independently own projects from discovery through production.
  • Strong product judgment and the ability to make decisions without waiting for perfect requirements.
  • Strong backend, frontend, database, and API skills.
  • Experience building real software, not just prototypes.
  • Practical experience using AI tools to accelerate engineering work.
  • Hands-on experience with LLMs, agents, retrieval/RAG, structured outputs, or AI workflow automation.
  • Comfort working directly with customers, internal users, PMs, designers, and business leaders.
  • Strong debugging skills across the entire stack.
  • Good judgment around security, privacy, permissions, and customer trust - especially important given we handle company budgets, employee wallets, and PII.
  • Clear communication with both technical and non-technical teams.

Nice to have
  • Java / Spring Boot experience.
  • TypeScript, Angular, React, or similar frontend experience.
  • AWS or cloud deployment experience.
  • Experience with OpenAI, Anthropic, Gemini, Bedrock, LangChain, LangGraph, Langfuse, LangSmith, Braintrust, or similar tools.
  • Experience building or consuming MCP servers / connectors.
  • Experience in B2B SaaS, HR tech, customer support, customer success, or internal automation workflows.

If you're an engineer who wants to own real problems end-to-end, use AI as a force multiplier, and help define how AI shows up in the recognition space we'd love to talk!