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Python Llm Jobs in South Jordan, UT (NOW HIRING)

... capabilities (Python, Bash, or equivalent) DevOps, CI/CD & Pipeline Architecture Extensive ... of LLM integration patterns (RAG, Agents, Tool-use) and Prompt Engineering strategies for ...

Agentic AI Engineer

Salt Lake City, UT · Hybrid

$130K - $170K/yr

Experience designing and evaluating LLM pipelines including prompt engineering, output validation ... Strong coding skills in Python and/or TypeScript; comfort working across the stack as needed

Agentic AI Engineer

Salt Lake City, UT · On-site

$130K - $170K/yr

Experience designing and evaluating LLM pipelines including prompt engineering, output validation ... Strong coding skills in Python and/or TypeScript; comfort working across the stack as needed

Sr. Applied AI Engineer

Salt Lake City, UT · On-site

$101K - $138K/yr

Python / FastAPI microservices * LangChain / LangGraph * GraphQL / REST * PostgreSQL / Redis ... Designed LLM strategies covering tool calling, structured outputs, prompt engineering, and context ...

Sr. Applied AI Engineer

Salt Lake City, UT · On-site

$101K - $138K/yr

Python / FastAPI microservices * LangChain / LangGraph * GraphQL / REST * PostgreSQL / Redis ... Designed LLM strategies covering tool calling, structured outputs, prompt engineering, and context ...

... as Go, Python, or Elixir. • 1+ years of professional experience deploying and maintaining AI ... LLM behavior -- including accuracy, safety, reliability, and cost monitoring. • Strong ...

Systems Analyst II

Salt Lake City, UT · Hybrid

$126K - $145K/yr

Integrate AI and LLM-based capabilities into existing tools and workflows to drive automation and ... Working proficiency in JavaScript, Python, SQL, and APIs, with the ability to build and ship ...

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 ...

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 ...

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 ...

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Python Llm information

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How much do python llm jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for python llm in South Jordan, UT is $55.96, according to ZipRecruiter salary data. Most workers in this role earn between $46.11 and $63.56 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.

What are popular job titles related to Python Llm jobs in South Jordan, UT? For Python Llm jobs in South Jordan, UT, the most frequently searched job titles are:
What job categories do people searching Python Llm jobs in South Jordan, UT look for? The top searched job categories for Python Llm jobs in South Jordan, UT are:
What cities near South Jordan, UT are hiring for Python Llm jobs? Cities near South Jordan, UT with the most Python Llm job openings:

Data Curation/Data Engineer (AI Quality & Evaluation)

US Tech Solutions

Lehi, UT • On-site

$107K - $129K/yr

Full-time

Re-posted 21 days ago


Job description

Job Summary:
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. They are seeking a Data Curation/Data Engineer to join their AI team and ensure the highest standards of quality, safety, and performance across AI-driven product offerings. The role involves collaborating with cross-functional teams to develop and maintain high-quality datasets and AI systems.
Responsibilities:
• Architect and implement frameworks to enforce AI quality, safety, and evaluation standards.
• Design and maintain scalable data pipelines for data ingestion, curation, annotation, and validation.
• Develop comprehensive evaluation methodologies and datasets to measure model accuracy, safety, and performance.
• Test, refine, and optimize ML models for both edge devices and cloud environments.
• Partner closely with embedded, app, platform, QA, product, and UX teams to deploy AI solutions at scale.
• Monitor production AI systems, analyze performance metrics, and drive continuous improvement.
• Establish best practices for data governance, reproducibility, and model lifecycle management.
Qualifications:
Required:
• 3–5 years of relevant experience in AI/ML, data engineering, model evaluation, or AI quality engineering.
• Strong analytical and problem-solving skills.
• Data structures, data curation, annotation workflows, and dataset lifecycle management.
• Model training, fine-tuning, and evaluation.
• LLM and Generative AI training/evaluation.
• Computer vision training, validation, and deployment.
• Transformers, LLMs, Vision-Language Models (VLM), and knowledge graphs.
• Classification, object detection, segmentation, tracking, recognition, Re-ID, pose estimation, and vector embeddings.
• Model compression techniques.
• Image, audio, radar, and signal processing.
• Advanced proficiency in Python.
• Shell scripting.
• C++ and/or Rust.
• Embedded Linux environments.
• Git version control.
• Experience working with secure, scalable, high-availability, low-latency, and distributed systems.
• Bachelor’s, Master’s, or PhD in Data Science, Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or related field.
Company:
US Tech Solutions counted among the largest yet the fastest growing staffing firm; all achieved organically. Founded in 2000, the company is headquartered in Toronto, CAN, with a team of 1001-5000 employees. The company is currently Late Stage.

US Tech Solutions logo

About US Tech Solutions

Sourced by ZipRecruiter

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Jersey City, NJ, US

Year founded

2000

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