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Python Llm Jobs in Denver, CO (NOW HIRING)

Senior Machine Learning Engineer (Nova)

Denver, CO · On-site

$107K - $147K/yr

... Python or TypeScript, including experience building ML workflows in frameworks like Mastra or comparable agent/LLM toolkits. • Experience with retrieval systems, vector databases, search ...

Write production-grade Python code across all AI solution engineering work - including Azure Functions for serverless AI triggers, custom API wrappers, LLM chain implementations, agent tool functions ...

Sr AI/ML Engineer

Centennial, CO · On-site

$102K - $179K/yr

Experience building and deploying LLM-powered applications such as RAG systems, Agentic workflows required. * Strong Python expertise and production-grade software engineering practices required.

Experience building and deploying LLM-powered applications such as RAG systems, Agentic workflows required. * Strong Python expertise and production-grade software engineering practices required.

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Python Llm information

See Denver, CO salary details

$13

$60

$88

How much do python llm jobs pay per hour?

As of Aug 7, 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 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:
Infographic showing various Python Llm job openings in Denver, CO as of August 2026, with employment types broken down into 2% Internship, 82% Full Time, 9% Part Time, 1% Temporary, and 6% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $125,503 per year, or $60.3 per hour.

Senior Machine Learning Engineer (Nova)

Iterable

Denver, CO • On-site

$107K - $147K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Summary:
Iterable is the leading AI-powered customer engagement platform that helps brands create dynamic, individualized experiences at scale. They are seeking a Senior Machine Learning Engineer to build core Machine Learning foundations, focusing on applied Machine Learning in production environments, and collaborating with various teams to enhance the Iterable platform.
Responsibilities:
• Design and build Machine Learning platform components that support agentic systems, including retrieval pipelines, indexing strategies, and model integration layers.
• Introduce and operationalize RAG use cases, from data sourcing and embedding generation to runtime retrieval patterns.
• Develop generalized evaluation frameworks for LLM- and agent-based features, including offline metrics, golden datasets, and continuous monitoring.
• Implement abstractions, tooling, and reusable patterns that enable other teams to build ML- and LLM-powered experiences efficiently.
• Partner with backend engineers to productionize ML features with strong reliability, observability, and performance characteristics.
• Prototype applied ML solutions to validate feasibility before investing in full builds.
• Ensure secure, robust handling of data used in ML workflows and retrieval operations.
• Collaborate with product, design, and engineering to align ML system design with user experience and product goals.
• Contribute to iterative improvements of the Nova agent framework, including workflows built with Mastra and TypeScript.
Qualifications:
Required:
• 5+ years experience as a Machine Learning Engineer or similar role focused on production systems.
• Strong engineering skills with Python or TypeScript, including experience building ML workflows in frameworks like Mastra or comparable agent/LLM toolkits.
• Experience with retrieval systems, vector databases, search technologies, or RAG architectures.
• Prior work integrating ML or LLM-powered features into production applications.
• Understanding of ML evaluation techniques, experimentation design, and failure analysis.
• Ability to lead complex projects, make practical trade-offs, and work independently in areas of ambiguity.
• Strong communication and collaboration skills in a distributed environment.
Preferred:
• Experience building ML or LLM platforms, tooling, or developer-facing frameworks.
• Prior work with embeddings, search–ranking systems, or advanced RAG architectures.
• Familiarity with event-driven systems or streaming architectures.
• Experience with model observability, performance monitoring, or proactive regression detection.
• Background in personalization, recommendations, or applied NLP.
• Experience working in remote-first engineering teams.
Company:
Iterable is an AI-powered communication platform that improves customer retention with its marketing. Founded in 2013, the company is headquartered in San Francisco, USA, with a team of 501-1000 employees. The company is currently Late Stage.