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Python Llm Jobs in Orem, UT (NOW HIRING)

NICE

AI DevOps Engineer

Sandy, UT · On-site

$50.25 - $68.75/hr

... Work on LLM integrations, Model training, PII redaction solutions,promptengineering, and ... .NET, Python, RUST or similar) Experience building scalable, distributed systems in cloud ...

Enzo Health

Security Architect

Lehi, UT · On-site

$61 - $78.75/hr

... LLM-powered remediation tooling, and PR-time security analysis into our CI/CD • Threat-model our ... programming skills in Python, TypeScript/Node, Go, or Rust • Experience securing cloud ...

Ancestry

Machine Learning Engineer, Co-op

Lehi, UT · Remote

Proficient in Python and familiar with ML libraries such as TensorFlow, PyTorch or Scikit-learn ... Familiarity with LLM fine-tuning, retrieval-augmented generation (RAG), vector databases (FAISS ...

Bespoke Labs

Machine Learning Engineer

Orem, UT · On-site

... Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...

Proofpoint

Software Engineer - AI Platform Team

Draper, UT · On-site

$180 - $240/hr

... LLM/agent traffic, cross‑product AuthX, etc.) * Design agent runtimes and SDKs on frameworks such as LangGraph, OpenAI Agents SDK, Anthropic's Agent SDK, MCP, in Python (typed) and TypeScript/Node

Atonom

AI Product Specialist

Provo, UT · On-site

AI/LLM Native: You have moved beyond "tech-curious" and have practical experience or a deep ... Experience with Python or JavaScript. * Deep familiarity with Salesforce, HubSpot, or similar ...

WorkBay

Data & Infrastructure Engineer

Draper, UT · On-site

$107K - $128K/yr

Strong proficiency in Python and SQL * Production experience with PostgreSQL (schema design ... Exposure to AI/LLM architecture -- understanding how large language models consume data and how to ...

NICE Systems

AI DevOps Engineer

Sandy, UT · On-site

$50.25 - $68.75/hr

... Work on LLM integrations, Model training, PII redaction solutions,promptengineering, and ... .NET, Python, RUST or similar) Experience building scalable, distributed systems in cloud ...

Atonom

AI Product Specialist

Provo, UT

AI/LLM Native:You have moved beyond "tech-curious" and have practical experience or a deep ... Experience with Python or JavaScript. * Deep familiarity with Salesforce, HubSpot, or similar ...

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How much do python llm jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for python llm in Orem, UT is $50.96, according to ZipRecruiter salary data. Most workers in this role earn between $42.02 and $57.88 per hour, depending on experience, location, and employer.

What is a Python LLM?

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.

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Senior Software Engineer in Test (AI Agentic Systems)

Collective Health

Lehi, UT • On-site

$109K - $136K/yr

Other

Medical, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Collective Health rating

7.5

Company rating: 7.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

203rd of 492 rated business services

Job description

At Collective Health, we're transforming how employers and their people engage with their health benefits by seamlessly integrating cutting-edge technology, compassionate service, and world-class user experience design.
This is not a traditional QA role. You will be the quality owner for an LLM-based multi-agent pipeline that autonomously adjudicates health insurance claims for self-funded plan sponsors. You are building a Three-Tier Evaluation Framework to ensure our Gemini-powered agents reason correctly, call tools accurately, and produce DOL-ready outcomes.
You will work at the intersection of Vertex AI, healthcare compliance, and high-scale data engineering. Your work directly determines whether claims are paid correctly and whether the company can withstand a Department of Labor (DOL) or state DOI audit. The stakes are real, the domain is hard, and the problems are genuinely novel.
What you'll do:
  • Outcome Evaluation (The "What")
    • Golden Set Governance: Build and maintain a versioned library of "Grounding Data" results by working with senior claims examiners to define "Ground Truth."
    • Model-as-a-Judge Automation: Design automated "LLM-grading-LLM" workflows using custom rubrics to score factual grounding and policy compliance.
    • Semantic Assertion Framework: Develop testing libraries that move beyond string matching to validate semantic equivalence and numerical accuracy in agent outputs.
  • Trajectory Evaluation (The "How")
    • Function-Call Auditing: Use Vertex AI traces to programmatically verify that mandatory tools (via MCP) were invoked with correct arguments.
    • Orchestration Logic Validation: Assert that agents respect defined priorities across the four architectural layers: Data & Knowledge, Orchestration, Agentic Reasoning, and Tooling.
    • Reasoning Trace Auditing: Ensure every autonomous decision is traceable to a specific SOP sentence and a live API data point.
  • Continuous Automated Regression (The "Always")
    • CI/CD Integration: Every prompt or model update in Vertex AI Prompt Management must trigger an automated regression run.
    • Auto-SxS: Own the automated pairwise comparison process to detect logic drift between "New" and "Production" agent versions.
    • Mocking & Resilience: Build a Vertex AI/ADK mocking layer to simulate model responses, allowing for thousands of logic tests in seconds with zero API costs.
To be successful in this role, you'll need:
  • Required Skills (The Core Bar)
    • 5+ years of of experience in software testing and development
    • Python SDET Expertise: Expert in Python and pytest, specifically building custom mocking frameworks for external APIs (Vertex AI/ADK).
    • AI/LLM Observability: Hands-on experience with Vertex AI Experiments, Auto-SxS, and Cloud Logging for trace analysis.
    • Data Literacy: Expert-level SQL (BigQuery) and Pandas skills to "diff" massive datasets and identify adjudication discrepancies.
    • Prompt Engineering for QA: Ability to analyze "System Instructions" and refine prompts based on failed test cases to close logic gaps.
    • Architectural Testing: Experience testing multi-layer systems involving RAG (Vertex AI Search), state management (LangGraph), and function calling.
  • Preferred Skills (The "Nice-to-Haves")
    • Healthcare/Claims Domain: Familiarity with claims adjudication concepts (pend reason codes, COB, eligibility, stop-loss).
    • Compliance Knowledge: Understanding of HIPAA/PHI handling and writing test evidence for regulatory bodies (DOL/DOI).
    • Human-in-the-Loop Testing: Experience in "Shadow Mode" monitoring-comparing agent decisions against human expert (MCA) baselines.
Pay Transparency Statement
This is a hybrid position based out of our Lehi or Plano offices, with the expectation of being in office at least two weekdays per week. #LI-hybrid
The actual pay rate offered within the range will depend on factors including geographic location, qualifications, experience, and internal equity. In addition to the salary, you will be eligible for 115000 stock options and benefits like health insurance, 401k, and paid time off. Learn more about our benefits at ;br>
Lehi, UT Pay Range
$99,200-$124,000 USD
Plano, TX Pay Range
$109,120-$136,400 USD
Why Join Us?
  • Mission-driven culture that values innovation, collaboration, and a commitment to excellence in healthcare
  • Impactful projects that shape the future of our organization
  • Opportunities for professional development through internal mobility opportunities, mentorship programs, and courses tailored to your interests
  • Flexible work arrangements and a supportive work-life balance

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Collective Health is committed to providing support to candidates who require reasonable accommodation during the interview process. If you need assistance, please contact
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