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Artificial Intelligence Engineer

Job in Lehi, Utah County, Utah, 84043, USA
Listing for: ConsultNet Technology Services and Solutions
Full Time position
Listed on 2026-02-06
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer, Software Engineer
Salary/Wage Range or Industry Benchmark: 145000 - 175000 USD Yearly USD 145000.00 175000.00 YEAR
Job Description & How to Apply Below

C# Software Engineer IV - AI Applications

Salt Lake City Region

Target Start Date : ASAP

Pay Rate : $70.00-$85.00/hr ($145-175K/yr)

No 3rd party C2C Please

Overview

Our client, a leader and growing presence in the robotics and autonomous vehicles space, is seeking a senior C# Software Engineer to integrate AI capabilities into a robotics-focused software platform. This role focuses on enhancing platform workflows, APIs, and internal tools to improve performance, automation, and usability, bridging AI research and production-grade software development.

Responsibilities
  • Embed AI features and models into platform workflows, APIs, and internal tools.
  • Develop and integrate AI/ML algorithms that enhance platform efficiency, automation, and usability.
  • Optimize platform workflows and AI systems for real-time performance, low latency, and reliability.
  • Convert AI models into production-ready services, APIs, or libraries.
  • Test, validate, and monitor AI features to ensure robustness, stability, and high performance.
  • Collaborate with software, robotics, and data teams to align AI capabilities with system and product requirements.
  • Continuously improve AI workflows and platform features through updates, optimization, and automation strategies.
Requirements
  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
  • 10+ years of software engineering experience, including significant work in C# development.
  • Experience developing and deploying AI or machine learning models in production software systems.
  • Hands-on experience with AI/ML frameworks such as Tensor Flow or PyTorch.
  • Proven ability to embed AI into software platforms, APIs, or internal tools.
  • Experience optimizing models and workflows for real-time performance and efficiency.
  • Strong analytical and problem-solving skills with the ability to implement technical solutions in software environments.
  • Effective collaboration skills for cross-functional team environments.
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