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Urgently Hiring Python Llm Jobs in Utah (NOW HIRING)

Addepar

Portfolio Analytics Architect

Salt Lake City, UT · On-site

$103K - $110K/yr

... the hiring process. Additionally, these ranges reflect the base salary only, and do not include ... Write custom Python logic to detect large-scale data anomalies and automate remediation

Trucordia

Senior Full Stack Engineer - AI Platforms

Lindon, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We're hiring for a senior full stack engineer to help scale that approach. You'll work across the ... Integrate AI and LLM capabilities, including OpenAI APIs, retrieval-augmented generation ...

Trucordia

Senior Full Stack Engineer - AI Platforms

Lindon, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We're hiring for a senior full stack engineer to help scale that approach. You'll work across the ... Integrate AI and LLM capabilities, including OpenAI APIs, retrieval-augmented generation ...

Adobe

Senior Financial Analyst - Strategic Finance

Lehi, UT · On-site

$80K - $100K/yr

Hands-on experience with automation tools - whether that's Python scripting, LLM-powered workflows ... As part of the hiring experience, we provide clear guidance on where AI is encouraged during the ...

Podium

Senior AI Engineer - Agentic

Lehi, UT · On-site +1

$98K - $134K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Our growth is fueled by hiring exceptional people, holding them to high standards, and creating ... Practical experience designing and implementing evaluations for LLM behavior - including accuracy ...

Podium

Staff AI Engineer - USA

Lehi, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Our growth is fueled by hiring exceptional people, holding them to high standards, and creating ... Practical experience designing and implementing evaluations for LLM behavior - including accuracy ...

Podium

Staff AI Engineer - Utah

Lehi, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Our growth is fueled by hiring exceptional people, holding them to high standards, and creating ... Practical experience designing and implementing evaluations for LLM behavior - including accuracy ...

Podium

Staff AI Engineer - Utah

Lehi, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Our growth is fueled by hiring exceptional people, holding them to high standards, and creating ... Practical experience designing and implementing evaluations for LLM behavior - including accuracy ...

Podium

Senior AI Engineer - Agentic

Lehi, UT · On-site

$98K - $134K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Our growth is fueled by hiring exceptional people, holding them to high standards, and creating ... Practical experience designing and implementing evaluations for LLM behavior - including accuracy ...

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Urgently Hiring Python Llm information

What is the difference between Urgently Hiring Python Llm vs Data Scientist?

AspectUrgently Hiring Python Llm
Primary RoleDeveloping and fine-tuning large language models using Python
Required SkillsPython, NLP, machine learning, deep learning, LLM frameworks
Work EnvironmentResearch labs, AI companies, tech startups
Industry UsageAI development, NLP applications, language model deployment

While both roles involve Python and AI, Urgently Hiring Python Llm focuses specifically on large language models, whereas Data Scientists work broadly on data analysis, modeling, and insights across various domains. The Python Llm role emphasizes deep learning and NLP expertise, often in AI-centric environments, making it more specialized compared to the versatile data science position.

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Urgently Hiring Python Llm jobs near you

Engineering Manager, Deep Learning Inference

Socket.dev

Santa Clara, UT • On-site

$224 - $357/hr

Other

Posted yesterday

New

Job description

NVIDIA is seeking an exceptional Manager, Deep Learning Inference Software, to lead a world-class engineering team advancing the state of AI model deployment. You will shape the software powering today’s most sophisticated AI systems — from large language models to multimodal generative AI — all accelerated on NVIDIA GPUs. The Deep Learning Inference team develops and optimizes open-source frameworks that make AI deployment scalable, efficient, and accessible — including vLLM / SGLang, and FlashInfer. Our work enables developers worldwide to harness NVIDIA accelerators for real-time inference at every scale, from datacenter clusters to edge devices.

What you'll be doing:

  • Lead, mentor, and scale a high-performing engineering team focused on deep learning inference and GPU-accelerated software.

  • Drive the strategy, roadmap, and execution of NVIDIA’s inference frameworks engineering, focusing on Client AI.

  • Partner with internal compiler, libraries, and research teams to deliver end-to-end optimized inference pipelines across NVIDIA accelerators.

  • Oversee performance tuning, profiling, and optimization of large-scale models for LLM, multimodal, and generative AI applications.

  • Guide engineers in adopting best practices for CUDA, Triton, CUTLASS, and multi-GPU communications (NIXL, NCCL, NVSHMEM).

  • Represent the team in roadmap and planning discussions, ensuring alignment with NVIDIA’s broader AI and software strategies.

  • Foster a culture of technical excellence, open collaboration, and continuous innovation.

What we need to see:

  • MS, PhD, or equivalent experience in Computer Science, Electrical/Computer Engineering, or a related field.

  • 6+ overall years of software development experience, including 3+ years in technical leadership or engineering management.

  • Strong background in C/C++ software design and development; proficiency in Python is a plus.

  • Hands‑on experience with GPU programming (CUDA, Triton, CUTLASS) and performance optimization.

  • Proven record of deploying or optimizing deep learning models in production environments.

  • Experience leading teams using Agile or collaborative software development practices.

Ways to Stand out from The Crowd:

  • Significant open-source contributions to deep learning or inference frameworks such as PyTorch, vLLM / SGLang, Triton, or TensorRT-LLM.

  • Deep understanding of multi-GPU communications (NIXL, NCCL, NVSHMEM) and distributed inference architectures.

  • Expertise in performance modeling, profiling, and system‑level optimization across CPU and GPU platforms.

  • Proven ability to mentor engineers, guide architectural decisions, and deliver complex projects with measurable impact.

  • Publications, patents, or talks on LLM serving, model optimization, or GPU performance engineering.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward‑thinking and hardworking people in the world working for us and, our rapid growth means endless opportunities for career advancement.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 2, and 224,000 USD - 356,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 9, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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