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AI Software Engineer

Remote / Online - Candidates ideally in
Lehi, Utah County, Utah, 84043, USA
Listing for: Cority
Remote/Work from Home position
Listed on 2026-06-04
Job specializations:
  • Software Development
    AI Engineer, Software Engineer, Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 140000 USD Yearly USD 140000.00 YEAR
Job Description & How to Apply Below
Position: Staff AI Software Engineer

Overview

Employer Industry: EHS Software Solutions

Why consider this job opportunity
  • Salary up to $140,000 a year
  • Opportunity to work in a values-driven, performance-oriented, and growth-focused culture
  • Support for remote work with a one-time home office allowance and subsidized monthly internet allowance
  • Comprehensive health benefits, dental plans, and retirement savings plans (RRSP, 401K plan, etc.)
  • Annual fitness allowance and mental health support through access to Calm Premium and Talkspace
  • Access to Udemy, internal training programs, and opportunities for certifications and professional development
What to Expect (Job Responsibilities)
  • Design, build, and ship agentic workflows across various domains, including research agents and conversational agents
  • Own the end-to-end lifecycle of agents from data ingestion to monitoring and evaluation
  • Build multi-step agents capable of autonomous planning and API orchestration
  • Communicate directly with Product Owners to ensure requirements are met and understood
  • Mentor junior developers and participate in code reviews
What is Required (Qualifications)
  • University degree in computer science or a related program
  • 8+ years of experience as a developer, including 2+ years as an AI developer
  • Strong understanding of the software development process and lifecycle
  • Experience with Agile and Scrum methodologies
  • Proven experience with LLMs and agent frameworks
How to Stand Out (Preferred Qualifications)
  • Experience with No

    SQL databases like MongoDB
  • Familiarity with AWS or Azure
  • Experience with multi-tenancy and machine learning
  • Experience with Docker
  • Previous experience in occupational health, environment, ergonomics, or safety

We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately.

We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.

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