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Ai Rag Jobs in Colorado (NOW HIRING)

Apex Systems

Senior AI Engineer

Broomfield, CO · On-site

$123K - $162K/yr

Implement modern LLM application patterns, including RAG, orchestration, tool use, evaluation, and ... Define and implement AI testing, evaluation, and monitoring practices to ensure solution safety ...

Palnar

ONLY W2 | AI Engineer@ Denver, Co

Denver, CO · On-site

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)

Sierra Nevada Corporation

Sr AI/ML Engineer

Lone Tree, CO · On-site

$106K - $146K/yr

RAG-Focused AI/ML Development: * Develop and prototype RAG-based architectures, including embedding pipelines, retrieval strategies, and transformer-based generative components. * Explore and ...

Ombud

Senior Full Stack AI Engineer

Denver, CO · Hybrid

... agentic AI platform. The work splits across two domains: building the agentic engine itself ... RAG and CAG architecture: embeddings, retrieval, re-ranking, caching strategies. We use LlamaIndex ...

Sierra Nevada Corporation

Sr AI/ML Engineer

Longmont, CO · On-site

$103K - $141K/yr

RAG-Focused AI/ML Development: * Develop and prototype RAG-based architectures, including embedding pipelines, retrieval strategies, and transformer-based generative components. * Explore and ...

Deloitte

AI Engineer Consultant

Denver, CO · Hybrid

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ... Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ...

Ombud

Senior Full Stack AI Engineer

Denver, CO · Hybrid

... agentic AI platform. The work splits across two domains: building the agentic engine itself ... RAG and CAG architecture: embeddings, retrieval, re-ranking, caching strategies. We use LlamaIndex ...

Sierra Nevada Corporation

Sr AI/ML Engineer

Lone Tree, CO · On-site

$106K - $146K/yr

RAG-Focused AI/ML Development: * Develop and prototype RAG-based architectures, including embedding pipelines, retrieval strategies, and transformer-based generative components. * Explore and ...

Ombud

Senior Full Stack AI Engineer

Denver, CO · On-site

... agentic AI platform. The work splits across two domains: building the agentic engine itself ... RAG and CAG architecture: embeddings, retrieval, re-ranking, caching strategies. We use LlamaIndex ...

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Ai Rag information

What is an AI RAG?

AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.

What are the key skills and qualifications needed to thrive as an AI researcher?

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.

What are common challenges faced by AI RAG engineers when integrating retrieval systems with large language models?

AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.

What is the difference between Ai Rag vs Data Analyst?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

What are popular job titles related to Ai Rag jobs in Colorado?

For Ai Rag jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Ai Rag jobs in Colorado look for?

The top searched job categories for Ai Rag jobs in Colorado are:

What cities in Colorado are hiring for Ai Rag jobs?

Cities in Colorado with the most Ai Rag job openings:

Ai Rag jobs near you
Infographic showing various Ai Rag job openings in Colorado as of August 2026, with employment types broken down into 82% Full Time, 6% Part Time, and 12% Contract. Highlights an 100% In-person job distribution.

Senior AI Engineer

Apex Systems

Broomfield, CO • On-site

$123K - $162K/yr

Other

Medical, Dental, Vision, Life, Retirement

Posted 9 days ago

Key responsibilities

  • Lead the design, development, testing, deployment, and operation of enterprise AI solutions.

  • Build solutions across platforms such as Microsoft Copilot Studio, Atlassian Rovo, Azure AI, and other emerging agent frameworks.

  • Develop secure integrations with enterprise applications, APIs, and data sources.

Job description

Job#: 3044834
Job Description:
Senior AI Engineer
Location: Broomfield, Colorado (Remote)
Role Overview
We are seeking a Senior AI Engineer to join a new Applied AI team focused on driving the adoption of AI tools and capabilities across the organization. This is a hands-on engineering role where you will lead the design, development, integration, and operation of AI agents, copilots, and intelligent workflows. As a senior member, you will help establish architecture patterns, engineering practices, and governance standards to scale AI solutions securely and effectively.
Key Responsibilities
  • Lead the design, development, testing, deployment, and operation of enterprise AI solutions.
  • Build solutions across platforms such as Microsoft Copilot Studio, Atlassian Rovo, Azure AI, and other emerging agent frameworks.
  • Implement modern LLM application patterns, including RAG, orchestration, tool use, evaluation, and guardrails.
  • Own technical design decisions and recommend the appropriate platform and architecture for each use case.
  • Develop secure integrations with enterprise applications, APIs, and data sources.
  • Build custom actions, plugins, and services using Python, JavaScript/TypeScript, or C#.
  • Define and implement AI testing, evaluation, and monitoring practices to ensure solution safety, reliability, and effectiveness.
  • Translate ambiguous business problems into scalable AI solutions and establish engineering standards for development teams.
Required Qualifications
Experience:
  • 5+ years of software engineering, automation engineering, or solution development experience, with demonstrated ownership of production solutions.
  • Hands-on experience designing and delivering AI agents, copilots, or intelligent workflow automations.
  • Strong experience with Azure and building on cloud-based AI platforms.
  • Experience with at least one enterprise AI platform or agent framework (e.g., Microsoft Copilot Studio, Salesforce Agentforce, Atlassian Rovo, Azure AI, Semantic Kernel, LangGraph).
  • Experience deploying secure, observable, production-grade solutions in Azure or similar cloud platforms.

Technical Skills:
  • Proficiency in at least one modern programming language such as Python, JavaScript/TypeScript, or C#.
  • Strong understanding of modern LLM application patterns, including RAG, orchestration, and tool use.
  • Knowledge of patterns used to build AI-enabled applications.

Education:
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.
Preferred Qualifications
  • Experience with Azure OpenAI, Azure AI Foundry, Microsoft 365 Copilot extensibility, or Power Platform.
  • Experience with agent frameworks and interoperability patterns such as Semantic Kernel or LangGraph.
  • Knowledge of vector search, hybrid retrieval, and semantic search.
  • Experience designing multi-agent systems, durable workflows, or event-driven integrations.
  • Knowledge of AI governance and security practices, including Responsible AI and threat modeling.
  • Experience implementing CI/CD, infrastructure as code, and SDLC practices for AI solutions.

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at
Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide.
Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.
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