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Ai Rag Jobs in Colorado (NOW HIRING)

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 ...

AI Data Analytics Engineer

Fort Collins, CO · On-site

$102 - $146.90/hr

Integration of large language models, embeddings, and retrieval-augmented generation (RAG) systems ... Responsible and secure use of data and AI appropriate for a regulated payments environment.

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 ...

AI Data Analytics Engineer

Fort Collins, CO

$113K - $135K/yr

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 ...

Sr AI/ML Engineer

Englewood, CO · On-site

$102K - $179K/yr

Design and implement RAG pipelines, embedding strategies, and vector search architectures. * Build agentic workflows, prompt strategies, and orchestration patterns for LLM systems. * Own AI/ML ...

Sr AI/ML Engineer

Centennial, CO · On-site

$102K - $179K/yr

Design and implement RAG pipelines, embedding strategies, and vector search architectures. Build agentic workflows, prompt strategies, and orchestration patterns for LLM systems. Own AI/ML solutions ...

Senior Product Manager, AI Platform

Boulder, CO · On-site +1

$131K - $173K/yr

Campminder is building an AI layer beneath every product we make, grounded on 25 years of camp data across close to 1,700 camps and a RAG system that's live today. This role builds that shared ...

Senior Product Manager, AI Platform

Boulder, CO · On-site +1

$131K - $173K/yr

Campminder is building an AI layer beneath every product we make, grounded on 25 years of camp data across close to 1,700 camps and a RAG system that's live today. This role builds that shared ...

Senior Product Manager, AI Platform

Boulder, CO · On-site +1

$131K - $173K/yr

Campminder is building an AI layer beneath every product we make, grounded on 25 years of camp data across close to 1,700 camps and a RAG system that's live today. This role builds that shared ...

Lead GenAI / AI-ML SME

Centennial, CO · On-site

$105K - $138K/yr

Develop RAG capabilities that connect network data, documentation, incident history, and knowledge ... AI-assisted operations reliable and trustworthy * Partner with architects, engineers, data teams ...

New

AI Engineering Lead

Denver, CO · On-site

$147 - $220/hr

Design, build, and deploy production‑grade end‑to‑end AI solutions, including workflow automation agents, RAG pipelines, and copilots embedded in business workflows, and LLM‑driven ...

RAG, MODEL CONTEXT PROTOCOL, LLMs, AWS SERVICES, ETL, SQL. • Hands-on experience building with ... pipelines, and AI agent workflows. • Strong written and verbal communication skills. • ...

Senior AI Automation Engineer (Gen AI Developer) Location: Denver, CO Duration: 6-12+ months Role ... Generation (RAG) implementations. * Creating and supporting Python-based microservices and APIs ...

AI System Developer III

Lakewood, CO · On-site

$120K - $130K/yr

AI System Developer III Compensation: $120,000-$130,000 annually, depending on experience Location ... Design and build RAG solutions, including vector stores and retrieval tuning * Develop multi-agent ...

New

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement context management, retrieval strategies, and observability. * Define end-to-end architectures across data ...

Showing results 21-40

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 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 82% Full Time, 6% Part Time, and 12% Contract. Highlights an 100% In-person job distribution.

AI Developer/Engineer

Connect for Health Colorado

Denver, CO • On-site, Remote

$111K - $145K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 10 days ago


Key responsibilities

  • Support the development and enhancement of internal AI-enabled applications and prototypes to improve staff efficiency and consumer support.

  • Implement and maintain retrieval-augmented generation (RAG) solutions, including document ingestion, chunking, embeddings, vector search, and prompt orchestration.

  • Integrate AI applications with AWS services, Snowflake, and other data platforms, ensuring security and access control standards are followed.


Job description

Description

Connect for Health has a great opportunity for an AI Developer/Engineer.


Connect for Health Colorado is a public, non-profit entity established by the Colorado General Assembly in 2011 to create a health insurance Marketplace. Since 2013, we've been helping individuals, families, and small employers compare plans, apply for financial help, and buy health insurance. As Colorado's official health insurance marketplace, we are the only place to apply for financial help to lower the monthly cost of premiums. Customers can shop online; get help by phone or online chat from Customer Service Center representatives; and access expert help from a statewide network of certified Brokers and community-based Assisters. Our mission is to increase access, affordability, and choice for individuals and small employers purchasing health insurance in Colorado. For more information: ConnectforHealthCO.com


Position Summary: 


As a member of the Architecture team, the AI Developer/Engineer supports the Senior AI Developer/Engineer and partners with cross-functional teams to design, develop, and enhance AI and machine learning capabilities that improve internal operations and staff productivity. This role focuses on delivering incremental improvements, prototypes, and staff-facing tools (including Streamlit-based applications), implementing retrieval-augmented generation (RAG) patterns, and integrating solutions with AWS services, Amazon Q (as applicable), and Snowflake (including Cortex where appropriate). The AI Developer/Engineer contributes to secure, responsible, and maintainable AI-enabled applications through documentation, testing, monitoring, and continuous optimization.


Position Responsibilities:

  • Support the Senior AI Developer/Engineer and CIO-sponsored initiatives by delivering enhancements, prototypes, and internal tools that improve staff efficiency and consumer support.
  • Collaborate with business owners and technical teams to gather requirements, document user stories/acceptance criteria, and translate needs into implementable AI/ML solutions.
  • Develop and enhance internal AI-enabled applications and demos using Streamlit and related web frameworks for knowledge assistance, workflow automation, and analytics.
  • Implement and maintain retrieval-augmented generation (RAG) solutions, including document ingestion, chunking, embeddings, vector search, and prompt orchestration.
  • Integrate AI applications with AWS services and data platforms, including Amazon Aurora/RDS PostgreSQL, S3, and approved AI services; follow security and access control standards.
  • Use Snowflake (including Snowflake Cortex where appropriate) to support AI/ML workloads, data preparation, and secure data access patterns.
  • Leverage Amazon Q (as applicable) and related enterprise assistant patterns to support internal users and knowledge discovery.
  • Contribute to semantic/domain models (taxonomies, metadata, reference data) that improve retrieval quality and reporting.
  • Write clean, testable Java code; build APIs/services; and contribute to CI/CD pipelines and automated testing.
  • Monitor AI application performance (quality, latency, cost) and assist with troubleshooting, incident response, and continuous improvement.
  • Ensure responsible AI practices: privacy, PII/PHI handling, bias awareness, auditability, and documentation; follow SOPs and security policies.
  • Participate in IT operations activities (standups, change management, documentation, knowledge transfer) and support end users with training and adoption.

Requirements

  • Colorado resident.
  • 3+ years of software engineering or data engineering experience, including building production Java applications.
  • Hands-on experience with AI/ML or generative AI (LLMs, embeddings, RAG) through professional work, projects, or equivalent experience.
  • Experience building lightweight web apps or APIs using Streamlit, FastAPI/Flask, or similar frameworks.
  • Working knowledge of AWS (IAM, S3, logging/monitoring, and common deployment patterns); experience with PostgreSQL/Aurora/RDS preferred.
  • Experience with SQL and data platforms; familiarity with Snowflake and Snowflake Cortex is a plus.
  • Familiarity with version control (Git), CI/CD, and automated testing practices.
  • Understanding of secure software development and handling sensitive data; ability to follow organizational security/privacy requirements.
  • Strong communication skills and ability to work with stakeholders to refine requirements and support user adoption; bachelor's degree (or equivalent experience) preferred.

Work Environment:

  • Currently working remotely.
  • The Connect for Health Colorado office is in the North Tech Center area of Denver, near the intersection of I-25 and I-225.
  • Work schedule may include some non-traditional hours, weekends, and evening events.
  • Core office hours are typically 8 am-5 pm with some flexibility.

Total Compensation:


Connect for Health Colorado offers a competitive benefits package.  Employees are offered a robust benefits package and may elect from various offerings to tailor a package best suited to their individual needs. Connect for Health Colorado employees are eligible to participate in the organization's 403(b) plan and are additionally provided with paid time off, short-term and long-term disability, and life insurance.  The salary range for this position is $111,240 - $145,230 yearly.


To Apply: 


Please apply on our Career page at https://connectforhealthco.com/about-us/employment/.


Connect for Health Colorado is an equal opportunity employer (EOE). Connect for Health Colorado may, at its discretion, conduct a background check on any workforce member and/or require job candidates to successfully complete a background check as a condition of employment.

Application Deadline: This will be posted for a minimum of 30 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. *Post date: 03/27/2026