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Large Language Model Llm Jobs in Colorado (NOW HIRING)

Senior Applied AI/ML Scientist

Denver, CO · On-site

$180K - $225K/yr

We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal ...

Design semantic models and data products with AI-readiness in mind-ensuring metadata quality, field descriptions, and schema consistency support large language model (LLM) integrations * Collaborate ...

... and Large Language Models (LLMs). This role involves modern functional quality engineering to ... Evaluate LLM responses for accuracy, relevance, and consistency. * Test prompt engineering ...

New

AI Solutions Analyst

Greeley, CO · On-site

$90K - $127K/yr

Leverage large language model (LLM) orchestration patterns including ReAct, chain-of-thought prompting, and tool-calling to build reliable, goal-directed agents. * Prototype and iterate rapidly on ...

We are looking for highly skilled AI Engineers with expertise in Large Language Models (LLMs) and ... Solid understanding of LLM architectures, embeddings, and retrieval-augmented generation (RAG)

AI Solutions Analyst

Greeley, CO · On-site

$90K - $127K/yr

Leverage large language model (LLM) orchestration patterns including ReAct, chain-of-thought prompting, and tool-calling to build reliable, goal-directed agents. * Prototype and iterate rapidly on ...

LLM Ops Engineer

Denver, CO · Hybrid

$105K - $130K/yr

As an LLM Ops Engineer, you will create the secure, scalable, and reliable foundation that allows ... Experience fine-tuning or training large language models for domain-specific applications.

LLM Ops Engineer

Denver, CO · On-site

$105K - $130K/yr

As an LLM Ops Engineer, you will create the secure, scalable, and reliable foundation that allows ... Experience fine-tuning or training large language models for domain-specific applications.

... Large Language Models • Google Gemini models • PaLM models • Enterprise LLM integration patterns Google Cloud AI & Platform Expertise • Vertex AI (Gemini/PaLM) • Vertex AI Agent Builder • ...

Proficiency integrating external tools for use with Large Language Model (LLM) agents and the MCP protocol Qualifications: * Education: Bachelor's degree in Computer Science, Applied Mathematics, or ...

Proficiency integrating external tools for use with Large Language Model (LLM) agents and the MCP protocol Qualifications: * Education: Bachelor's degree in Computer Science, Applied Mathematics, or ...

AI Software Engineer

Fort Collins, CO · On-site

$108 - $172.80/hr

Proficiency integrating external tools for use with Large Language Model (LLM) agents and the MCP protocol Qualifications * Education: Bachelor's degree in Computer Science, Applied Mathematics, or a ...

... other large language model (LLM) tools. * Conduct keyword research and implement best practices to increase organic traffic, discoverability, and authoritative brand presence. * Develop content ...

Experience working with generative AI / Large Language Model (LLM) technologies; experience shipping AI-powered products preferred * Proven track record of successfully bringing products to market ...

Showing results 21-40

Large Language Model Llm information

What are some common challenges faced by large language model llm engineers in their day-to-day work?

LLM Engineers often encounter challenges related to scaling models efficiently, optimizing performance on large and complex datasets, and ensuring the responsible use of AI technologies. Balancing the trade-offs between model accuracy, speed, and ethical considerations can be demanding, especially as real-world applications often require rapid iterations and rigorous testing. Additionally, staying updated with the latest research advancements and integrating new methods into production systems is an ongoing responsibility. Many engineers tackle these challenges by working closely with data scientists, researchers, and product teams in collaborative, agile environments.

What is a large language model llm?

A Large Language Model (LLM) job typically involves working with advanced AI models designed to understand and generate human-like text. Roles in this field may include research, data engineering, model fine-tuning, prompt engineering, or application development. Professionals in LLM jobs often work with machine learning algorithms, natural language processing (NLP), and large-scale datasets to enhance AI capabilities. These roles are common in AI-driven industries, including tech companies, research institutions, and startups. Strong programming skills, knowledge of deep learning frameworks, and expertise in NLP are often required.

What are the key skills and qualifications needed to thrive in the large language model llm position?

Excelling in the role of a Large Language Model (LLM) Engineer requires strong expertise in natural language processing, machine learning, and computer programming, often supported by an advanced degree in computer science or a related field. Familiarity with industry-standard frameworks like PyTorch or TensorFlow, as well as experience with cloud computing platforms and large-scale data management, is highly valued. Communication, creativity, and problem-solving are essential soft skills to effectively collaborate with cross-functional teams and innovate solutions. These skills ensure the development, deployment, and refinement of powerful language models that can address diverse business needs and technical challenges.

What jobs can I do with a large language model?

A large language model can be used in roles such as AI content developer, chatbot designer, or natural language processing specialist. These jobs involve tasks like training, fine-tuning models, creating AI-driven applications, and improving language understanding, often requiring skills in programming, data analysis, and machine learning tools.
What are the most commonly searched types of Large Language Model Llm jobs in Colorado? The most popular types of Large Language Model Llm jobs in Colorado are:
What are popular job titles related to Large Language Model Llm jobs in Colorado? For Large Language Model Llm jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Large Language Model Llm jobs in Colorado look for? The top searched job categories for Large Language Model Llm jobs in Colorado are:
Infographic showing various Large Language Model Llm job openings in Colorado as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution.

Senior Applied AI/ML Scientist

Capital Rx

Denver, CO • On-site

$180K - $225K/yr

Other

Re-posted 14 days ago


Job description

About Judi Health

Judi Health is a health technology company providing benefit administration solutions to employers, unions, health plans, and government entities. Judi Health replaces fragmented, outdated systems with the industry's first Unified Claims Processing architecture, seamlessly consolidating pharmacy and medical benefit administration on a single, secure platform. By delivering true price transparency, eliminating unnecessary middleman fees, and leveraging advanced AI-powered care delivery, Judi Health helps clients achieve unprecedented operational efficiency and service levels.
At Judi Health, we're deploying the infrastructure our country needs to deliver the healthcare we all deserve. We are the intelligence platform powering benefits plans for millions of Americans and proudly leading the next generation of care. To learn more, visit www.judi.health.

Position Summary:

Join our mission to infuse cutting-edge AI/ML/GenAI into healthcare as a Senior Applied AI/ML Scientist. We are seeking Artificial Intelligence (AI) Applied Scientists to join our team and contribute to the development of Large Language Models (LLMs) aimed at advancing state-of-the-art for AI-based automation for Healthcare. As an Applied Scientist, you will play a crucial role in developing, improving, and exploring the capabilities of multimodal LLMs to solve complex real-world problems geared towards building Conversational AI products enabling increased productivity and magical experiences for our customers.

The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable customized solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare.

Responsibilities:

  • Investigate the latest LLM MLM models and evaluate and compare accuracy and efficiency for our in-domain use cases
  • Develop tools and processes to create data pipelines for ML training and customization
  • Finetune LLMs for the healthcare domain
  • Help develop and productionize machine learning (ML) solutions leveraging our customized models in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc.
  • Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment.
  • Participate in code reviews, testing, and quality assurance processes.
  • Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services.
  • Document and communicate research and development processes, and architectural decisions.
  • Ensure the security and compliance of healthcare data, adhering to HIPAA regulations.

Required Qualifications:

  • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field.
  • PhD in AI, Machine Learning or Computer Science preferred
  • Minimum 4 years of experience in industry with a strong focus on applied AI/ML research and development
  • Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development.
  • Solid understanding of Machine Learning fundamentals such as Deep Neural Networks, Transformer-based LLM and MLMs, Boosted or standard decision trees, RAG, etc.
  • Strong proficiency in Python and familiarity with ML libraries such as PyTorch.
  • Experience with training (pre-training / fine-tuning / RLHF / post-training) autoregressive language models like LLaMA, GPT-x, Mistral etc.
  • Experience with open-source LLM platforms and training stack (e.g., HuggingFace, Deepspeed etc.).
  • Experience with ML platforms such as AWS Sagemaker, Azure ML, Databricks etc.
  • Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking.
  • Passion for customer, innovation, product quality
  • The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment.
  • Good written communication skills that enable collaboration in a remote environment.
  • Experience in healthcare or life sciences is a plus.
New York, NY Salary Range
$180,400—$225,500 USD
Denver, CO Salary Range
$165,600—$207,000 USD
Charlotte, NC Salary Range
$150,400—$188,000 USD

All employees are responsible for adherence to the Judi Health Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.

We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found athttps://www.judi.health/legal/privacy-policy.