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Python Llm Jobs in Denver, CO (NOW HIRING)

TIFIN

AI Engineering, TIFIN.ai

Boulder, CO · On-site

$200K - $275K/yr

Strong experience with RAG, agent memory, knowledge graphs and graph databases, and LLM fine-tuning * Deep proficiency in Python, with experience in distributed systems, cloud infrastructure (AWS/GCP ...

Axos Bank

API Platform Owner

Centennial, CO · On-site

$150K - $170K/yr

Experience in Python, Java, or Node.js, with the ability to read and modify Apigee policy XML/JavaScript and to prototype LLM client and MCP server code * Experience in microservices and cloud ...

Mind Ware Inc

Lead GenAI / AI-ML SME

Centennial, CO · On-site

$105K - $138K/yr

... Python software engineering experience with hands-on GenAI, AI/ML, or LLM-based application delivery. - Experience with LangChain, LangGraph, or equivalent agentic AI frameworks. - Strong ...

New

Vizient

Sr AI/ML Engineer

Englewood, 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.

Vizient, Inc.

Sr AI/ML Engineer

Centennial, CO

$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.

Themesoft Inc

REMOTE_Senior Gen AI Engineer

Denver, CO · On-site

$120 - $190/hr

... LLM-powered solutions| including prompt engineering| agent orchestration| tool calling| and Retrieval-Augmented Generation (RAG) implementations. * Creating and supporting Python-based microservices ...

TIFIN

Staff AI Engineer

Boulder, CO · On-site

... LLM fine tuning, reinforcement learning, agent harness, agent memory. • Deep proficiency in Python and modern AI frameworks. • Experience with distributed systems, cloud infrastructure (AWS/GCP ...

Ombud

Senior Full Stack AI Engineer

Denver, CO · Hybrid

LLM integration with Anthropic Claude (primary), with multi-model routing where it makes sense ... Full-stack feature delivery across Python (primary backend), Node.js (legacy services), React ...

Ombud

Senior Full Stack AI Engineer

Denver, CO · Hybrid

LLM integration with Anthropic Claude (primary), with multi-model routing where it makes sense ... Full-stack feature delivery across Python (primary backend), Node.js (legacy services), React ...

Ombud

Senior Full Stack AI Engineer

Denver, CO · On-site

LLM integration with Anthropic Claude (primary), with multi-model routing where it makes sense ... Full-stack feature delivery across Python (primary backend), Node.js (legacy services), React ...

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All JobsPython Llm JobsPython Llm Jobs in Denver, CO

Python Llm information

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$88

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?

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

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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.

Backend Engineer with Security Clearance

Zachary Piper Solutions, LLC

Denver, CO • On-site

$120K - $180K/yr

Contractor

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago

Job description

Zachary Piper Solutions is seeking a Backend Engineer to support a next‑generation federal mission‑software program focused on modernizing cloud‑native operations. This position is based in a hybrid environment with locations including Washington, DC, Arlington, VA, Seattle, San Francisco, Los Angeles, and Denver. The Backend Engineer will design, build, and maintain backend services, APIs, and cloud‑integrated capabilities that directly support mission‑critical federal operations. This is an excellent opportunity for an engineer who wants to work with modern technologies, contribute to high‑impact systems, and grow within a fast‑moving, mission‑driven environment. ACTIVE SECRET SECURITY CLEARANCE REQUIRED Primary Responsibilities:
• Develop backend services and APIs using Python in a production environment • Integrate AWS services including EC2, Lambda, ECS/EKS, S3, RDS, CloudWatch, and Fargate • Build and maintain GraphQL or REST interfaces for mission‑critical applications • Support AI/LLM integrations with platforms such as OpenAI, Anthropic, and AskSage • Implement scalable, secure, and cost‑efficient cloud architectures • Troubleshoot backend issues, optimize performance, and improve system reliability • Collaborate with frontend engineers, AI engineers, and product teams in an Agile environment • Contribute to CI/CD pipelines, DevSecOps tooling, and infrastructure automation using Terraform or similar IaC tools Required Qualifications:
• Bachelor’s degree in Computer Science or related field (or equivalent hands‑on experience) • 3+ years of professional backend or full‑stack engineering experience • Strong proficiency in Python and API development (REST or GraphQL) • Experience with AWS services (Lambda, ECS/EKS, EC2, S3, RDS, CloudWatch) • Hands‑on experience with Docker and containerized applications • Familiarity with Kubernetes deployments (EKS preferred) • Experience with Terraform or other Infrastructure‑as‑Code tools • Strong Git workflow experience (GitHub/GitLab) • U.S. Person status and ability to obtain a U.S. Security Clearance Preferred Experience (Not Required):
• Experience integrating AI/LLM APIs (OpenAI, Anthropic, AskSage) • Background in cloud‑native distributed systems • Experience in startup or fast‑paced engineering environments • Strong troubleshooting, debugging, and performance optimization skills Compensation & Benefits:
• Competitive salary range: $120,000 – $180,000 (depending on experience) • Equity opportunities depending on program • Comprehensive benefits package including PTO, paid holidays, medical, dental, vision, 401(k), and sick leave • Hybrid work flexibility depending on location

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