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Large Language Model Llm Jobs in Colorado (NOW HIRING)

Experience with Large Language Models/Generative AI and Prompt Engineering. Also, using LLM/GAI solutions for usage in human-machine teaming for Software Development * Familiarity with Linux ...

A.I. Engineer

Denver, CO ยท On-site

$70/hr

Research, develop, fine-tune, and implement Large Language Models (LLMs) and Agentic AI frameworks. * Analyze large-scale structured and unstructured datasets to identify trends, patterns, and ...

Experience with artificial intelligence/large language model platform features, including Skills, Model Context Protocol (MCP), Plugins, or partner-led delivery models involving systems integrators ...

AI Data Analytics Engineer

Fort Collins, CO ยท On-site

$102K - $146K/yr

Integration of large language models, embeddings, and retrieval-augmented generation (RAG) systems ... dbt), LLM APIs, vector databases, embeddings, and orchestration frameworks such as LangChain ...

Showing results 41-60

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.
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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.

AI/ML Software Engineer

asrcfh

Colorado Springs, CO โ€ข On-site

Full-time

Re-posted 9 days ago


Job description

ASRC Federal Mission Solutions is a premier provider of systems engineering, software engineering, system integration and project management services for real-time, mission-critical defense systems. We are seeking highly motivated Software Engineers to join our team as an AI Engineer atย Schriever Space Force Base, in Colorado Springs, CO.

This exciting career opportunity is responsible for the development and delivery of high-fidelity threat missile modeling and missile defense software products in support of the Missile Defense Agency (MDA) and MDAโ€™s Missile Defense System (MDS).

Basic Qualifications:

  • Bachelor of Science degree in a STEM (Science, Technology, Engineering, or Math) discipline with 2 years of relevant experience, or 0 yearsโ€™ experience with a Matersโ€™ Degree
  • Must have an active U.S. Government DoD Secret security clearance at time of application
  • Familiarity in a variety of AI/ML techniques, including deep learning, natural language processing, computer vision, and reinforcement learning
  • Experience with programming in Python, R, or other relevant languages
  • Experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and Keras
  • Experience with Large Language Models/Generative AI and Prompt Engineering.ย  Also, using LLM/GAI solutions for usage in human-machine teaming for Software Development
  • Familiarity with Linux operating systems.

Preferred Qualifications:

  • Experience in Engineering and Aerospace
  • Familiarity with MLOps and deploying models at scale.
  • Familiarity with A/B testing and other methods for evaluating the performance of AI/ML models
  • Familiarity with cloud computing platforms such as AWS, Azure, or GCP
  • Familiarity with DevOps practices and tools
  • Experience working with sensitive data and adhering to data privacy regulations
  • Experience in Modeling and Simulation
  • Knowledge of the flight characteristics, motion, atmospheric dynamics, and performance of missiles
  • Knowledge of engineering modeling principles behind body motion, trajectory analysis, counter measures, debris, and signature modeling
  • Background with missile system models, atmospheric dynamics, and performance
  • Experience in Agile software development methodologies including Scrum and Kanban