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Trilon Jobs in Utah (NOW HIRING)

At Horrocks, we believe the best work comes from companies with values, that our people are our greatest resource, and that we have a responsibility to the communities where we live and work. As a ...

Design-Build Structures Lead

Pleasant Grove, UT

$53.25 - $69.75/hr

Unmatched Comp Time Policy: Hours worked over 40 in a week can be reimbursed as additional pay at an equivalent hourly rate or banked as additional PTO. At Horrocks, we believe the best work comes ...

At Horrocks, we believe the best work comes from companies with values, that our people are our greatest resource, and that we have a responsibility to the communities where we live and work. As a ...

SUE Technician V

Salt Lake City, UT ยท On-site

$19.25 - $26.25/hr

At Horrocks, we believe the best work comes from companies with values, that our people are our greatest resource, and that we have a responsibility to the communities where we live and work. As a ...

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Trilon information

What are some common challenges faced by developers working at Trilon, and how does the company support overcoming them?

Developers at Trilon often work on complex projects involving cutting-edge technologies such as Angular and NestJS, which can present challenges like adapting to rapid framework updates and integrating new tools. The company fosters a collaborative work environment where team members regularly participate in code reviews, knowledge-sharing sessions, and pair programming to address these challenges. Additionally, Trilon encourages ongoing learning by providing access to training resources and supporting attendance at industry conferences, helping developers stay current and grow their expertise.

What are the key skills and qualifications needed to thrive as a Trilon, and why are they important?

I'm sorry, but 'Trilon' is not a recognized real-world professional occupation, so I am unable to provide information for this job title.

What is the difference between Trilon vs Mechanical Engineer?

AspectTrilonMechanical Engineer
Required CredentialsTypically a diploma or associate degree in related fieldBachelor's degree in Mechanical Engineering or related field
Work EnvironmentManufacturing, assembly lines, or technical supportDesign, analysis, testing, and manufacturing settings
Industry UsageIndustrial, manufacturing, and technical service sectorsEngineering firms, manufacturing companies, R&D departments

Trilon roles often focus on technical support and assembly tasks, requiring less formal education than Mechanical Engineers, who are involved in design, analysis, and development within engineering industries. While both work in industrial environments, their responsibilities and credentials differ significantly.

What are Trilon developers?

Trilon developers are professionals who work at Trilon, a company known for its expertise in building web applications, particularly using the NestJS framework, which Trilon created and actively maintains. These developers specialize in backend and full-stack development, focusing on scalable, maintainable, and efficient server-side applications. They also contribute to open-source projects, provide consulting, and deliver training in modern web technologies. Trilon developers are recognized for their deep knowledge of TypeScript, Node.js, and best practices in software engineering.
What are popular job titles related to Trilon jobs in Utah? For Trilon jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Trilon jobs? Cities in Utah with the most Trilon job openings:
Infographic showing various Trilon job openings in Utah as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Applied AI Field Engineer (Salt Lake City)

Applied AI Field Engineer (Salt Lake City)

Trilon

Salt Lake City, UT โ€ข On-site

Full-time

Posted 5 days ago


Job 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.ย 
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.ย 
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.ย 
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.ย 
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.ย 
AI Application Development
  • Design and build AI-powered features using large language models and related toolingย 
  • Develop and maintain prompt architectures that drive consistent, high-quality outputsย 
  • Implement retrieval-augmented generation pipelines using enterprise data sourcesย 
  • Build and orchestrate agent-based workflows to automate targeted tasksย 
Model Integration and System Behaviorย 
  • Integrate LLM APIs such as Anthropic Claude and OpenAI into production systemsย 
  • Design context management strategies to ensure outputs are grounded, relevant, and accurateย 
  • Manage tradeoffs across latency, cost, and performance in AI workflowsย 
  • Continuously improve system behavior through prompt iteration and architecture refinement
Pod Collaboration and Deliveryย 
  • Partner with Software Engineers to integrate AI capabilities into applications, APIs, and user interfacesย 
  • Align with the Lead Engineer on technical direction, architecture, and implementation decisionsย 
  • Work with QA Engineers to define evaluation criteria, testing strategies, and quality thresholds for AI outputsย 
  • Translate product requirements into scalable, production-ready AI solutionsย 
Evaluation and Quality Optimizationย 
  • Define and implement approaches for evaluating non-deterministic AI outputsย 
  • Build test cases, benchmarks, and evaluation pipelines to track output quality over timeย 
  • Identify failure modes and iterate on prompts, pipelines, and orchestration logicย 
  • Ensure consistency and reliability as models, prompts, and data sources evolveย 
Continuous Improvement and Innovationย 
  • Stay current with advancements in LLMs, vector databases, and agent frameworksย 
  • Experiment with new tools and techniques to improve speed, quality, and capabilityย 
  • Contribute reusable patterns, components, and best practices across podsย 

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