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

Senior Backend Engineer - AI Platform

Salt Lake City, UT · On-site +1

$118K - $156K/yr

... AI tools engineered for advanced reasoning, strategic planning, and the orchestration of intricate ... Proficiency in backend development, with expertise in Java or C#, frameworks like SpringBoot ...

Senior Backend Engineer - AI Platform

Salt Lake City, UT · On-site +1

$118K - $156K/yr

... AI tools engineered for advanced reasoning, strategic planning, and the orchestration of intricate ... Proficiency in backend development, with expertise in Java or C#, frameworks like SpringBoot ...

Senior Software Engineer

Salt Lake City, UT · On-site

$118K - $156K/yr

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

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Ai Backend Developer information

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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 Clearfield, UT is $53.82, according to ZipRecruiter salary data. Most workers in this role earn between $44.13 and $63.65 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 cities near Clearfield, UT are hiring for Ai Backend Developer jobs?

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

Staff Software Engineer, Backend & APIs

WEX

Salt Lake City, UT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago


WEX Inc. rating

7.3

Company rating: 7.3 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

13th of 21 rated payment service providers


Job description

About the Team/Role

We're looking for a Staff Software Engineer with deep expertise in backend development to join our 10-4 by WEX team. You will play a key role in designing, developing, and operating highly scalable, secure, and resilient backend services that power our mobile and web applications. You will work closely with mobile, web, product, and platform engineering teams to deliver APIs and distributed systems that provide seamless customer experiences.

Our platform helps owner-operators and small fleets save money on fuel through one of the industry's largest fuel discount networks. The mobile application enables truck drivers to discover participating fuel locations, activate discounts, manage payment methods, view transaction history, and access real-time fuel pricing and savings. As a Staff Software Engineer, you'll build the backend services and APIs that power these experiences, ensuring they are secure, scalable, highly available, and capable of supporting a growing user base while delivering a reliable and seamless experience for drivers on the road.

How you'll make an impact:

  • Design, develop, and maintain scalable, secure, and high-performance backend services using Java, Spring Boot, PostgreSQL, and REST APIs.

  • Architect and build distributed microservices that are resilient, observable, and easy to maintain.

  • Design REST APIs that enable seamless integration with mobile applications, web applications, and external partner systems.

  • Lead architecture and system design discussions, producing high-quality design documents and driving alignment across engineering teams.

  • Optimize database design, queries, indexing strategies, and transaction management to improve performance and scalability.

  • Develop comprehensive automated testing strategies, including unit, integration, contract, performance, and load testing.

  • Improve application reliability by implementing observability, logging, distributed tracing, health monitoring, and alerting.

  • Identify technical debt, scalability bottlenecks, and reliability risks, and drive continuous platform improvements.

  • Build and enhance CI/CD pipelines, deployment automation, infrastructure automation, and engineering productivity tools.

  • Partner closely with Product, Mobile, Web, Security, Infrastructure, and DevOps teams to deliver high-quality customer experiences.

  • Lead code reviews, mentor engineers, establish engineering best practices, and raise the overall quality bar across the organization.

  • Troubleshoot complex production issues, perform root cause analysis, implement corrective actions, and improve operational excellence.

  • Evaluate emerging technologies and architectural approaches, providing technical recommendations based on business and engineering needs.

  • Create and maintain technical documentation including architecture documents, API specifications, runbooks, operational guides, and readiness plans.

  • Design highly available services with appropriate resilience patterns including retries, circuit breakers, caching, rate limiting, and graceful degradation.

  • Drive cross-functional initiatives as a technical lead or Single-Threaded Owner (STO), helping unblock teams and ensuring successful delivery.

  • Gain hands-on experience with automation and AI-assisted software engineering solutions.

Experience you'll bring
  • Bachelor's degree in Computer Science, Software Engineering, or a related field.

  • 8-10 years of professional software engineering experience.

  • Strong expertise in Java and Spring Boot for building enterprise-grade backend applications.

  • Experience designing and developing RESTful APIs and distributed microservices.

  • Strong understanding of object-oriented design, data structures, algorithms, and software design principles.

  • Experience with PostgreSQL or other relational databases, including schema design, query optimization, indexing, and transaction management.

  • Experience building scalable, secure, highly available, and fault-tolerant distributed systems.

  • Strong understanding of authentication, authorization, API security, OAuth2, JWT, and secure software development practices.

  • Experience with asynchronous messaging technologies such as Kafka, RabbitMQ, or similar event-driven platforms.

  • Familiarity with caching technologies such as Redis and distributed caching strategies.

  • Experience with CI/CD pipelines, automated testing, code quality tools, and modern software delivery practices.

  • Understanding of observability technologies including logging, metrics, tracing, monitoring, and alerting.

  • Experience collaborating with mobile engineering teams and designing APIs optimized for iOS and Android applications.

  • Excellent communication, collaboration, mentoring, and technical leadership skills.

  • Hands-on experience leveraging AI coding assistants and development tools (e.g., GitHub Copilot, Cursor, Claude) to accelerate software development, refactoring, and code generation.

Preferred Qualifications
  • Master's degree in Computer Science or Software Engineering.

  • 10+ years of software engineering experience.

  • Experience with cloud-native application development using AWS, Kubernetes, Docker, and Terraform.

  • Experience with API Gateways, service mesh technologies, and cloud networking concepts.

  • Experience with event-driven architectures and distributed systems patterns.

  • Familiarity with OpenTelemetry, Grafana, Prometheus, or similar observability platforms.

  • Exposure to mobile application development (Android and/or iOS) with an understanding of mobile architecture, API consumption patterns, offline synchronization, and application performance considerations.

  • Experience leading technical initiatives across multiple engineering teams and mentoring senior engineers.

The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section.Pay Range: $140,600.00 - $173,100.00

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