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Volunteer Field Software Engineer Jobs in Utah (NOW HIRING)

Sentar is seeking a Software Engineer in Roy, AL! Role Description: Sentar is looking for a ... Voluntary Medical, Dental, Vision, with Health Savings or Flexible Spending Plan options

Sentar is seeking a Software Engineer in Roy, AL! Role Description: Sentar is looking for a ... Voluntary Medical, Dental, Vision, with Health Savings or Flexible Spending Plan options

Sentar is seeking a Software Engineer in Roy, AL! Role Description: Sentar is looking for a ... Voluntary Medical, Dental, Vision, with Health Savings or Flexible Spending Plan options

... related field (required) * Minimum 12 years of progressive experience in professional software ... Medical, Dental, Vision, Life and AD&D, Voluntary Disability, Flex Spending & Dependent Care TAB ...

Software Engineer (Draper, UT) ABOUT UPBOUND Upbound Group, Inc. (effective February 27, 2023 ... Associate degree in computer science, related field or equivalent professional experience * 6+ ...

Software Engineer (Draper, UT) ABOUT UPBOUND Upbound Group, Inc. (effective February 27, 2023 ... Associate degree in computer science, related field or equivalent professional experience * 6+ ...

... related field (required) * Minimum 12 years of progressive experience in professional software ... Medical, Dental, Vision, Life and AD&D, Voluntary Disability, Flex Spending & Dependent Care TAB ...

Cloud systems used to manage distributed edge appliances in the field Technical leadership ... software engineering experience * Strong experience building production systems in JavaScript ...

Senior Software Engineer

Clearfield, UT · On-site

$115K - $151K/yr

Required : • Requires a bachelor's in Computer Science or other related field. • 5-10 years experience in Software Engineering or related field. • Secret Clearance is required. Preferred : • ...

Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

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Volunteer Field Software Engineer information

What is the difference between Volunteer Field Software Engineer vs Field Software Engineer?

AspectVolunteer Field Software EngineerField Software Engineer
Required credentialsTypically no formal degree, some technical skillsBachelor's degree in CS or related field, technical certifications
Work environmentNon-profit, community projects, remote or on-siteCorporate or industrial sites, on-site or field locations
Employer and industry usageNon-profit organizations, NGOs, humanitarian projectsTech companies, manufacturing, energy, infrastructure
Common search intentVolunteer opportunities, non-profit tech rolesTechnical field roles, software engineering jobs

The main difference is that Volunteer Field Software Engineers typically work on non-profit or community projects without formal compensation, focusing on humanitarian or social impact. Field Software Engineers are employed by companies to develop and maintain software in industrial or field environments, often requiring formal education and certifications. Both roles involve working in field settings, but their goals, employer types, and compensation structures differ significantly.

What are the most commonly searched types of Field Software Engineer jobs in Utah? The most popular types of Field Software Engineer jobs in Utah are:

Applied AI Field Engineer (Orlando)

Trilon Group

Salt Lake City, UT • On-site

$155K - $190K/yr

Full-time

Re-posted 20 days ago


Job description

Description
Trilon is building a supercharged, technology-enabled future for our people and partners. The Applied AI Engineer plays a critical role in that mission by building the AI-powered features that enable our tools to compress real engineering labor across our operating companies. 
This role sits at the intersection of software engineering and applied AI, focused on designing and implementing the intelligence layer of our products. You translate product requirements and architectural patterns into working AI capabilities by building prompt frameworks, retrieval-augmented generation pipelines, and agent-based workflows that operate against real engineering data and deliverables. 
Working within a product pod, you partner closely with the Lead Engineer, Software Engineer, and QA Engineer to deliver production-ready solutions. You own how the system reasons, including prompt design, context management, model integration, and orchestration logic. You also help define how quality is measured for AI outputs, ensuring tools are accurate, reliable, and usable in real-world workflows. 
You will engage directly with engineers across our operating companies to understand workflows, validate solutions, and iterate quickly based on feedback. You may also participate in field-based project hackathons, embedding with teams to identify high-impact opportunities and rapidly prototype solutions that inform platform development. 
This role requires strong software engineering fundamentals, deep hands-on experience with modern AI tooling, and the ability to operate in a fast-moving environment where both the technology and the product are evolving. You are comfortable with ambiguity, rigorous about output quality, and focused on delivering AI that engineers trust and use. 

Key Responsibilities
AI Application Development
  • Design and build AI-powered features using large language models and related tooling 
  • Develop and maintain prompt architectures that drive consistent, high-quality outputs 
  • Implement retrieval-augmented generation pipelines using enterprise data sources 
  • Build and orchestrate agent-based workflows to automate targeted tasks 
Model Integration and System Behavior 
  • Integrate LLM APIs such as Anthropic Claude and OpenAI into production systems 
  • Design context management strategies to ensure outputs are grounded, relevant, and accurate 
  • Manage tradeoffs across latency, cost, and performance in AI workflows 
  • Continuously improve system behavior through prompt iteration and architecture refinement
Pod Collaboration and Delivery 
  • Partner with Software Engineers to integrate AI capabilities into applications, APIs, and user interfaces 
  • Align with the Lead Engineer on technical direction, architecture, and implementation decisions 
  • Work with QA Engineers to define evaluation criteria, testing strategies, and quality thresholds for AI outputs 
  • Translate product requirements into scalable, production-ready AI solutions 
Evaluation and Quality Optimization 
  • Define and implement approaches for evaluating non-deterministic AI outputs 
  • Build test cases, benchmarks, and evaluation pipelines to track output quality over time 
  • Identify failure modes and iterate on prompts, pipelines, and orchestration logic 
  • Ensure consistency and reliability as models, prompts, and data sources evolve 
Continuous Improvement and Innovation 
  • Stay current with advancements in LLMs, vector databases, and agent frameworks 
  • Experiment with new tools and techniques to improve speed, quality, and capability 
  • Contribute reusable patterns, components, and best practices across pods 


Skills, Knowledge and Expertise
  • 4+ years of experience in software engineering, applied AI, or machine learning development 
  • Strong programming skills in Python and/or JavaScript 
  • Hands-on experience working with LLM APIs such as Anthropic Claude, OpenAI, or similar 
  • Experience designing and implementing prompt architectures and prompt engineering techniques 
  • Experience building retrieval-augmented generation pipelines and working with vector databases 
  • Familiarity with agent orchestration frameworks and multi-step AI workflows 
  • Experience integrating AI capabilities into applications via APIs and backend systems 
  • Strong understanding of handling structured and unstructured data in AI systems 
  • Ability to evaluate, debug, and improve non-deterministic AI outputs 
  • Experience working in a fast-paced, product-oriented development environment 
  • Strong problem-solving skills and ability to operate in ambiguous, evolving contexts 
  • Ability to collaborate closely with engineers, product managers, and QA within a pod structure 
  • Excellent communication skills and ability to explain technical concepts clearly 
  • Curiosity and willingness to learn domain-specific workflows, particularly within engineering and AEC contexts