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Llm Engineer Remote Jobs in Draper, UT (NOW HIRING)

... LLM implementation , workflow automation, technical business operations, or a related hands-on ... Very effective in a remote work environment Benefits Benefits: 100% remote w/ no office mandate ...

... LLM implementation , workflow automation, technical business operations, or a related hands-on ... Very effective in a remote work environment Benefits Benefits: 100% remote w/ no office mandate ...

... LLM implementation , workflow automation, technical business operations, or a related hands-on ... Very effective in a remote work environment Benefits Benefits: 100% remote w/ no office mandate ...

Senior Staff Agentic AI Engineer

Draper, UT · On-site +1

$99K - $134K/yr

... g., LLM-powered applications, LangChain, LangGraph, AutoGen) and 3+ years of experience ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Senior Machine Learning Engineer

Lehi, UT · On-site +1

$144K - $233K/yr

Familiarity with modern LLM tooling, model serving, and inference frameworks. * Strong ... Flexible and transparent culture with remote and hybrid work options, generous vacation time, and ...

Senior Machine Learning Engineer

Lehi, UT · On-site +1

$98K - $134K/yr

Familiarity with modern LLM tooling, model serving, and inference frameworks. * Strong ... Flexible and transparent culture with remote and hybrid work options, generous vacation time, and ...

Senior Backend Engineer - AI Platform

Salt Lake City, UT · On-site +1

$118K - $156K/yr

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Build and optimize LLM-powered services (e.g., OpenAI APIs, LangChain) for production-grade ...

Partner with machine learning engineers to move successful experiments into production. * Develop ... Experience building LLM evaluation frameworks, benchmark suites, or automated quality measurement ...

Senior Data Scientist

Lehi, UT · On-site +1

$133K - $213K/yr

Partner with machine learning engineers to move successful experiments into production. * Develop ... Experience building LLM evaluation frameworks, benchmark suites, or automated quality measurement ...

AI Solutions Architect

Salt Lake City, UT · On-site +1

$61 - $80.25/hr

Washington, DC; or Remote WHO WE ARE: MGT is a leading provider of technology and advisory ... LLM-based application development, retrieval-augmented generation architectures, agentic design ...

Solutions Consultant

Salt Lake City, UT · Remote

$120K - $150K/yr

Collaborate cross-functionally with Product, Engineering, Legal/Compliance, and Support to ... Working knowledge of how AI/LLM systems function -- retrieval, ranking, and generation -- and how ...

This is a remote position available in the state listed on this job. Additionally, employment with ... Looking for a role where you can engineer and architect a product but still have a life outside of ...

Llm Engineer Remote information

See Draper, UT salary details

$23

$50

$71

How much do llm engineer remote jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for llm engineer remote in Draper, UT is $50.14, according to ZipRecruiter salary data. Most workers in this role earn between $40.43 and $58.22 per hour, depending on experience, location, and employer.

What is an LLM engineer?

An LLM Engineer, or Large Language Model Engineer, is a professional who designs, develops, and optimizes applications using advanced AI language models such as GPT-4 or similar technologies. Working remotely, they are responsible for integrating these models into products, fine-tuning them for specific tasks, and ensuring their performance and reliability. LLM Engineers often collaborate with data scientists, software developers, and product managers to create solutions in areas like chatbots, content generation, and natural language processing. Their work requires a strong background in machine learning, programming, and cloud computing.

What are the key skills and qualifications needed to thrive as an LLM engineer in a remote role?

To thrive as an LLM Engineer remotely, you need strong expertise in machine learning, natural language processing, and proficiency with programming languages such as Python, often supported by a degree in computer science or related fields. Familiarity with frameworks like PyTorch or TensorFlow, experience with cloud platforms (AWS, GCP), and knowledge of large language model architectures are commonly required. Excellent problem-solving skills, self-motivation, and effective remote communication make candidates stand out. These capabilities are crucial for developing, deploying, and maintaining advanced language models while collaborating efficiently with distributed teams.

What are some typical challenges faced by remote LLM engineers when collaborating with cross-functional teams?

Remote LLM Engineers often work closely with data scientists, product managers, and software engineers to develop and deploy large language models. One common challenge is ensuring clear and consistent communication across different time zones and technical backgrounds, which can sometimes lead to misaligned project goals or delays. To overcome this, many teams rely on detailed documentation, regular virtual meetings, and collaborative project management tools. Building strong relationships remotely and proactively sharing updates can make collaboration smoother and more productive.

What is the difference between Llm Engineer Remote vs Data Scientist Remote?

AspectLlm Engineer RemoteData Scientist Remote
Required CredentialsAdvanced degree in CS, ML, or related field; experience with NLP and deep learningDegree in CS, Statistics, or related; experience with data analysis and machine learning
Work EnvironmentCollaborative teams, research-focused, often in tech or AI companiesData analysis, model development, reporting; across various industries
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, tech, e-commerce, and more

While both roles involve machine learning, Llm Engineers focus on developing large language models and NLP applications, often requiring deep expertise in AI research. Data Scientists analyze data to inform business decisions, with broader industry applications. The roles share some credentials but differ in focus and daily tasks.

What job categories do people searching Llm Engineer Remote jobs in Draper, UT look for?

The top searched job categories for Llm Engineer Remote jobs in Draper, UT are:

What cities near Draper, UT are hiring for Llm Engineer Remote jobs?

Cities near Draper, UT with the most Llm Engineer Remote job openings:

AI Solutions Engineer

Applause

Salt Lake City, UT • Remote

Full-time

Medical, Life, PTO

Re-posted 13 days ago


Job description

Hiring Manager: Jeff Martin, CTO


We're looking for an AI Solutions Engineer to drive AI adoption across every team at Applause. You 'll build and maintain a monthly roadmap of AI-powered workflows for departments like Sales, Customer Success, Marketing, Finance, and HR/TA, then actually implement them: standing up tools, wiring integrations into our core systems, training the team on how to use them, and tracking whether they're moving the needle. This is a builder role, and you'll work closely with our CTO and Chief Architect, who own the broader AI vision and governance, while you own execution.

Responsibilities:

  • AI Workflow Roadmap & Delivery
    • Build a monthly roadmap of AI workflows to design and ship, prioritized by productivity or cost impact, for every department (except Product and Engineering)
    • Identify manual, repetitive work across departments and design AI-driven workflows to replace or accelerate it
    • Ship the workflows you scope: configure tools, build automations, and get them into daily use, not just document recommendations
    • Iterate and fine-tune workflows post-launch based on usage and feedback
  • Systems & Integrations
    • Support system implementations for AI and adjacent tools, partnering with the CTO and Engineering on technical requirements and data access
    • Connect AI tools into core business systems (CRM, HRIS, finance tools, Slack, etc.), so workflows run inside the systems teams already use
    • Evaluate and pilot new AI tools for specific departments and use cases, and recommend what to adopt, pause, or retire
  • Adoption, Training & ROI
    • Train department teams on the workflows and tools you build, and follow up to make sure they're actually being used
    • Troubleshoot adoption issues directly with end users rather than escalating them
    • Track usage and cost of AI tools by team and use case, and run monthly ROI reporting
    • Report progress monthly to the CTO on workflow delivery, adoption, and productivity/cost impact
    • Level up teams to build and own their own AI workflows over time, so departments grow more self-sufficient rather than depending on you for every change

Requirements

    • Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field (or equivalent hands-on experience)
    • 2–4 years of experience in AI/LLM implementation, workflow automation, technical business operations, or a related hands-on technical role
    • Able to write and modify code for simple, internal business applications (even if AI writes most of it)—production-grade or engineering-quality code is not required
    • Programming Languages: Javascript/Typescript preferred
    • Demonstrated experience building integrations or automations (e.g., Zapier, Make, APIs, low-code/no-code platforms)
    • Working knowledge of modern AI tools Claude, Copilot, and similar) and how to apply them to business workflows
    • Comfortable working cross-functionally with non-technical teams (Sales, CS, Marketing, Finance, HR) to scope and deliver workflows
    • Strong communicator who can train and troubleshoot with non-technical users
    • Detail-oriented with strong ownership over initiatives, start to finish
    • Very effective in a remote work environment

Benefits

Benefits:  100% remote w/ no office mandate | Unlimited PTO | 20 official company holidays | Health care | Life insurance | Stock options | Amazing colleagues | Energetic culture that is positive and celebrates together | Inspiring mission & software product | Ability to grow your career by being early in a fast-growing tech startup
About Applause

Applause is a SaaS start-up founded by experienced entrepreneurs and backed by the best VCs in Silicon Slopes. We’re focused on helping companies supercharge their team’s performance so they can win more lifelong customers. Learn more about our company and culture here: