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Python Llm Jobs in Utah (NOW HIRING)

Headlight

Data Engineer

Salt Lake City, UT

$150K - $165K/yr

Own and extend the Python-based ETL job orchestration engine: add new job types, monitor execution ... Experience building or maintaining AI/LLM-powered applications (Claude, OpenAI) in a production ...

Headlight

Data Engineer

Salt Lake City, UT · On-site

$150K - $165K/yr

Own and extend the Python-based ETL job orchestration engine: add new job types, monitor execution ... Experience building or maintaining AI/LLM-powered applications (Claude, OpenAI) in a production ...

Addepar

Lead, Portfolio Analytics Architect

Salt Lake City, UT · On-site

$53.50 - $73.25/hr

Write custom Python logic to detect large-scale data anomalies and automate remediation * Identify and implement AI-driven automation and LLM integrations to streamline implementation Leadership and ...

BambooHR

Sr. Data Engineer

Draper, UT · On-site

$107K - $128K/yr

Design, develop, and maintain scalable data ingestion and transformation pipelines using Python ... Build and integrate AI-powered applications and agentic workflows (e.g., LLM-based agents ...

Canopy

QA Automation Tech Lead

South Jordan, UT · Remote

Overhaul and scale our Python/Pytest frameworks to support high-concurrency, multi-tenant ... Hands-on experience (or deep technical projects) involving LLM integration or agentic AI to solve ...

Addepar

Portfolio Analytics Architect

Salt Lake City, UT · On-site

$103K - $129K/yr

Write custom Python logic to detect large-scale data anomalies and automate remediation ... Identify and implement AI-driven automation and LLM integrations to streamline implementation Who ...

Canopy

QA Automation Tech Lead

South Jordan, UT · Remote

Overhaul and scale our Python/Pytest frameworks to support high-concurrency, multi-tenant ... Hands-on experience (or deep technical projects) involving LLM integration or agentic AI to solve ...

Wipro Limited

Data NLU Tamil L2

Redmond, UT · On-site

$37K - $83K/yr

Familiarity with data processing and visualization languages and tools such as Python. * Experience using knowledge of regular expressions to develop and release hard-coded rules for LLM.

Wipro Limited

Data NLU Hebrew L2

Redmond, UT · On-site

$37K - $83K/yr

Familiarity with data processing and visualization languages and tools such as Python. * Experience using knowledge of regular expressions to develop and release hard-coded rules for LLM.

Canopy

QA Automation Tech Lead

South Jordan, UT · On-site

Overhaul and scale our Python/Pytest frameworks to support high-concurrency, multi-tenant ... Hands-on experience (or deep technical projects) involving LLM integration or agentic AI to solve ...

Extra Space

Sr. AI Engineer

Salt Lake City, UT · Hybrid

$118K - $156K/yr

... Python Strong experience with React architecture and modern frontend patterns Deep understanding of LLM systems, RAG, and agent orchestration frameworks (e.g. LangGraph) Experience designing ...

Addepar

Lead, Portfolio Analytics Architect

Salt Lake City, UT · On-site

$53.50 - $73.25/hr

Write custom Python logic to detect large-scale data anomalies and automate remediation * Identify and implement AI-driven automation and LLM integrations to streamline implementation Leadership and ...

Wipro Limited

Data NLU Marathi L2

Redmond, UT · On-site

$37K - $83K/yr

Familiarity with data processing and visualization languages and tools such as Python. * Experience using knowledge of regular expressions to develop and release hard-coded rules for LLM.

Podium

Staff AI Engineer - Utah

Lehi, UT · On-site

... Python, or Elixir. * 1+ years of professional experience deploying and maintaining AI agents in ... Practical experience designing and implementing evaluations for LLM behavior - including accuracy ...

Revver

Director of GTM Systems & Automations

Lehi, UT · On-site

Python * JavaScript * SQL * Zapier * Make * n8n * Clay * OpenAI APIs * HubSpot * Slack integrations ... Experience with LLM APIs, prompt orchestration, or agentic workflows * Experience with modern ...

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Showing results 1-20

All JobsPython Llm JobsPython Llm Jobs in Utah

Python Llm information

What is a Python LLM job?

A Python LLM job involves working with Large Language Models (LLMs) using Python to develop, fine-tune, and deploy AI models. Responsibilities may include data preprocessing, prompt engineering, model optimization, and integration with applications. Professionals in this role often work with frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. They may also contribute to improving model efficiency, reducing bias, and ensuring ethical AI usage.

What are the key skills and qualifications needed to thrive in the Python Llm position, and why are they important?

To excel as a Python LLM (Large Language Model) Engineer, you need strong skills in Python programming, machine learning, and natural language processing, typically supported by a degree in computer science or a related field. Proficiency with libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and experience with model deployment platforms are often essential, alongside certifications in AI or data science. Effective communication, problem-solving abilities, and collaboration are important soft skills for working in interdisciplinary teams and delivering results in dynamic environments. These skills ensure the development, fine-tuning, and deployment of advanced language models that meet both technical and business objectives.

What are some common challenges faced by Python LLM Engineers in their daily work?

Python LLM Engineers often encounter challenges related to optimizing model performance, managing large datasets, and adapting models to specific business needs. Working with large-scale language models requires balancing computational resource limitations with the need for high accuracy and efficiency. Collaboration with data scientists, product managers, and DevOps engineers is routine to ensure seamless model integration and deployment. Staying updated on the latest advancements in NLP and continuously improving models based on user feedback are also important aspects of the role.

What are the most commonly searched types of Python Llm jobs in Utah? The most popular types of Python Llm jobs in Utah are:
What are popular job titles related to Python Llm jobs in Utah? For Python Llm jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Python Llm jobs in Utah look for? The top searched job categories for Python Llm jobs in Utah are:
What cities in Utah are hiring for Python Llm jobs? Cities in Utah with the most Python Llm job openings:
Python Llm jobs near you
Infographic showing various Python Llm job openings in Utah as of July 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution.
Platform Engineer, AI Agent Systems

Platform Engineer, AI Agent Systems

Zanskar

Salt Lake City, UT • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago

Job description

Role Overview
Title: Platform Engineer, AI Agent Systems
Hours: Full-time; Salaried
Location: Salt Lake City, UT (hybrid in-office)
Benefits Eligible: Yes
Manager: Justin Hanselman
Mission - Why we exist and why we need you
Geothermal energy is the most abundant renewable energy source in the world. There is 2,300 times more energy in geothermal heat in the ground than in oil, gas, coal, and methane combined. However, historically it's been hard to find and expensive to develop. At Zanskar, we're using better technology to find and develop new geothermal resources in order to make geothermal a cheap and vital contributor to a carbon-free electrical grid.
Zanskar uses proprietary geophysical models and subsurface data to find geothermal resources faster than anyone else. We're building the infrastructure that lets our team put AI agents to work on that data - safely. We need a Platform Engineer to own that infrastructure: the systems that let agents operate on sensitive company data and models without creating pathways for that data to be deleted, altered, or exfiltrated. The work isn't theoretical - we have proprietary subsurface models and geophysical datasets that cannot leave our environment, and we need agents that can work with them in production today.
Outcomes - Problems you'll solve
Success in this role centers on two tightly related workstreams that share the same hard underlying problem: letting agents operate on sensitive company data and models safely. You'll design and operate the production systems that run agentic workflows inside our infrastructure as well as support a self-service layer for our internal teams to deploy agent-based tools and agent-built internal apps.
You'll own the access control architecture that governs what agents can read, write, and call in both production and sandboxed experiments - explicit trust boundaries, revocable credentials, and audit trails that hold up under scrutiny. Throughout, you'll partner directly with scientists, engineers, finance, legal, and comms to understand what they need, what they'll accidentally break, and how to make the on-ramp fast without compromising the guardrails.
Within six months, you'll have foundational agent-deployment infrastructure running in production, a sandbox environment that internal teams are actively using to build tools, and an access-control and observability model that lets Zanskar expand agent usage safely as the company grows.
Competencies - What we're looking for
  • A Platform Engineer First: You have 3+ years building and operating internal APIs, platform services, or backend infrastructure. You reach for containerized environments naturally, think in terms of service-to-service auth and secrets management, and you know what observability actually requires - not just that it's important.
  • Fluent in How Agents Fail: You have worked with LLM tool-use or function-calling in a production or near-production context. You understand hallucinated tool calls, unbounded loops, and context bleed - not just as concepts, but as things you've had to diagnose and contain. You have hands-on experience with at least one agentic framework and its operational tradeoffs.
  • Security-Minded by Default: You don't treat access controls as a bolt-on. You design systems where the path of least resistance is also the safe path. You've thought about what happens when a component is compromised, not just when it works correctly.
  • Comfortable With Unsolved Problems: There is no playbook for safely deploying proprietary AI agents at the speed a small technical team needs. You're the kind of engineer who figures out the right approach rather than waiting for one to arrive. You do your best work when the problem is real and the constraints are hard.

Nice to have:
  • Experience with multi-tenant systems where isolation between environments is a hard requirement, not a best-effort.
  • Familiarity with model serving infrastructure and the patterns that apply when the model itself is proprietary.
  • Experience with data access patterns in scientific or geospatial contexts - raster/vector data, large file stores, or similar environments where data sensitivity and file size create real engineering constraints.
  • Experience managing LLM provider integrations at the API layer - cost observability, rate limiting, failover logic, or gateway tooling. Single-provider depth is fine; understanding when and why you'd need to abstract to multi-model is what matters.
  • Familiarity with or interest in frontend development - the systems you're building will help users deploy their apps to share across the company.
  • Experience in Python, TypeScript, Golang, Pulumi, or Kubernetes - you'll be involved with infrastructure tooling that uses aspects of each while setting up frameworks for the company.

Location, Salary, and Benefits
  • The position is located in Salt Lake City, UT
  • Full-time; salaried
  • Paid holidays
  • 18 days PTO + PTO accrual increase based on tenure
  • Medical, Dental & Vision coverage
  • Equity Packages
  • 401k
  • Paid Parental Leave
  • A direct impact in displacing carbon emissions, and growth opportunities in a growing startup environment

Equal Opportunity Employer
Zanskar is an equal-opportunity employer and complies with all applicable federal, state, and local fair employment practice laws.

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