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Python Llm Jobs in Denver, CO (NOW HIRING)

Programmers.io

AI Engineer

Denver, CO · On-site

Key Requirements: * AI/ML development * Python and AI frameworks * LLM integration and prompting * APIs and pipelines * Collaboration skills Responsibilities: * Develop AI systems * Integrate ...

Delan Associates, Inc

AI Agentic Tester

Denver, CO · On-site

$90 - $120/hr

Python * Test Automation (Selenium / Playwright / PyTest) * AI Evaluation Metrics (Accuracy ... Validate LLM responses for accuracy, relevance, consistency, and hallucination rates. * Test RAG ...

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All JobsPython Llm JobsPython Llm Jobs in Denver, CO

Python Llm information

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How much do python llm jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for python llm in Denver, CO is $60.34, according to ZipRecruiter salary data. Most workers in this role earn between $49.71 and $68.56 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 Denver, CO?

For Python Llm jobs in Denver, CO, the most frequently searched job titles are:

What job categories do people searching Python Llm jobs in Denver, CO look for?

The top searched job categories for Python Llm jobs in Denver, CO are:

What cities near Denver, CO are hiring for Python Llm jobs?

Cities near Denver, CO with the most Python Llm job openings:

Python Llm jobs near you
Infographic showing various Python Llm job openings in Denver, CO as of August 2026, with employment types broken down into 1% Internship, 82% Full Time, 11% Part Time, and 6% Contract. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution, with an average salary of $125,503 per year, or $60.3 per hour.

Principal Machine Learning Engineer

3B Staffing LLC

Denver, CO • Remote

Contractor

Posted 6 days ago

Job description

Principal Machine Learning Engineer

Location: Remote
Type: Contract-to-Hire
Experience: 6-12+ years
Education: Master's or PhD preferred

LLM/Generative AI, Multi-Agent AI (Planner/Executor, ReAct, Tool-Use), RAG, Embeddings, Retrieval Optimization, NLP, Transformers, Deep Learning, Model Fine-Tuning, PyTorch, Hugging Face, LangChain/LlamaIndex, Kubernetes, Vector Databases, ML Monitoring & Observability.

Core Stack: Python, PyTorch, Hugging Face, LangChain/LlamaIndex, RAG, LLMs, Transformers, Vector Databases, Kubernetes, Multi-Agent AI, ML Observability.

Job Summary

We are seeking 2 Principal Machine Learning Engineers to join a collaborative team building and deploying advanced AI and LLM-based solutions. The ideal candidate will have strong hands-on experience in Machine Learning, Generative AI, LLMs, RAG and multi-agent systems, with the ability to translate complex technical concepts into practical business solutions.

The role requires someone who has spent the last 2-3 years heavily focused on modern AI/LLM technologies and has experience taking ML systems from development through production.

Required Skills

  • 6-12+ years of experience in Data Science and Machine Learning Engineering
  • Strong hands-on experience building and deploying LLM-based systems
  • Expertise in Generative AI and NLP
  • Proven experience with multi-agent architectures, including Planner/Executor, Tool-Use Agents and ReAct-style agents
  • Strong experience with Retrieval-Augmented Generation (RAG)
  • Hands-on experience with embeddings and retrieval optimization
  • Experience developing LLM/ML model evaluation frameworks
  • Strong knowledge of Transformers and Deep Learning
  • Experience with model fine-tuning
  • Hands-on experience with PyTorch and Hugging Face
  • Experience with LangChain and/or LlamaIndex
  • Experience working with Kubernetes
  • Experience with vector databases
  • Experience designing and operating production-grade ML systems
  • Experience with ML monitoring, observability and evaluation

Preferred Qualifications

  • Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, Data Science or a related field
  • Experience architecting enterprise-scale AI/LLM platforms
  • Experience with production agentic AI systems
  • Strong understanding of LLM evaluation, hallucination reduction and retrieval quality
  • Experience with cloud-based ML/AI infrastructure
  • Strong communication and stakeholder management skills

Key Responsibilities

  • Design, develop and deploy production-grade LLM and Generative AI solutions
  • Build and optimize RAG pipelines, embeddings and retrieval systems
  • Design and implement multi-agent architectures
  • Fine-tune and evaluate transformer-based models
  • Develop scalable ML/AI services and infrastructure
  • Build monitoring, observability and evaluation frameworks for production AI systems
  • Collaborate with data scientists, engineers, product teams and business stakeholders
  • Translate business requirements into scalable AI/ML solutions
  • Provide technical leadership and mentorship across AI/ML initiatives

Apply