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Ai Rag Jobs in Colorado (NOW HIRING)

Build RAG pipelines, embedding workflows, vector search, and agentic AI systems . * Develop and optimize LLM orchestration and prompt strategies. * Deploy and serve models using tools such as FastAPI ...

New

Sr AI Engineer

Lone Tree, CO · On-site +1

$103K - $141K/yr

Design and optimize Retrieval-Augmented Generation (RAG) services and agent-based workflows. * Integrate AI platform services with enterprise data platforms and cloud infrastructure. * Implement ...

Our AI Engineers architect, build, and operationalize these systems at scale, pushing the ... Build agent workflows that integrate RAG-based retrieval, agent memory, and knowledge graphs for ...

AI Security Engineer

Denver, CO · On-site

$150 - $178/hr

AI Security Engineer - Litera, Denver, CO (Hybrid) Why this Role Matters Litera is advancing AI ... RAG data poisoning, model abuse, data leakage, indirect context manipulation). * Improve the ...

Advance Litera's defenses against emerging AI-specific threats, including prompt injection, jailbreaking, insecure outputs, RAG data poisoning, model abuse, data leakage, and indirect context ...

AdvanceLitera'sdefenses against emerging AI-specific threats, including prompt injection, jailbreaking, insecure outputs, RAG data poisoning, model abuse, data leakage, and indirect context ...

AI Security Engineer

Denver, CO · On-site

$150 - $178/hr

Advance Litera's defenses against emerging AI-specific threats, including prompt injection, jailbreaking, insecure outputs, RAG data poisoning, model abuse, data leakage, and indirect context ...

AI Engineering, TIFIN.ai

Boulder, CO · On-site

$128K - $168K/yr

Build agent workflows that integrate RAG-based retrieval, agent memory, and knowledge graphs for ... Design and enforce AI governance - audit trails, guardrails, and human-in-the-loop checkpoints ...

8+ years of management experience 4+ years of LLM experience (fine-tuning, RAG, prompt engineering, agentic) 8+ years of ML/Data Science Experience Someone who has been delivering AI/ML models into ...

The position emphasizes deep expertise across retrieval-augmented generation (RAG), multi-agent orchestration, and model fine-tuning, while accelerating enterprise delivery through AI-assisted ...

Job Summary : eTeam is a company looking for a Generative AI Developer. The role involves strong ... RAG systems and vector databases • Pinecone • FAISS • MLOps Systems • MLflow • model ...

We are hiring an AI Data Analytics Engineer to design, build, and ship the data, analytics, and AI ... Integration of large language models, embeddings, and retrieval-augmented generation (RAG) systems ...

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Ai Rag information

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 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 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 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 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 cities in Colorado are hiring for Ai Rag jobs? Cities in Colorado with the most Ai Rag job openings:
Infographic showing various Ai Rag job openings in Colorado as of August 2026, with employment types broken down into 81% Full Time, 6% Part Time, and 13% Contract. Highlights an 100% In-person job distribution.

Director, AI Enablement & CX Innovation (Denver)

UKG (Ultimate Kronos Group)

Denver, CO • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


UKG rating

7.8

Company rating: 7.8 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

136th of 242 rated software companies


Job description

UKG (Ultimate Kronos Group) seeks a leader to define knowledge architecture and drive AI-enabled CX Learning & Enablement. You will implement AI/RAG, improve content lifecycles, and own integrations across CMS, LMS, and KM tools while partnering with engineering and business teams.

Responsibilities include building governance, measuring knowledge impact, and guiding vendor/opensource options. Join a product-focused, enterprise SaaS environment with strong collaboration.

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