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Rag Engineer Jobs in Colorado (NOW HIRING)

Sr. AI/ML Engineer Duration: 3-6 Months Contract-to-Hire Job Summary We are seeking an experienced ... Build RAG pipelines, embedding workflows, vector search, and agentic AI systems . * Develop and ...

New

Sr AI Engineer

Lone Tree, CO · On-site +1

$103K - $141K/yr

This engineer independently delivers complex platform capabilities, mentors junior engineers, and ... Design and optimize Retrieval-Augmented Generation (RAG) services and agent-based workflows.

AI Developer/Engineer

Denver, CO · On-site +1

$111K - $145K/yr

... Engineer. Connect for Health Colorado is a public, non-profit entity established by the Colorado ... Implement and maintain retrieval-augmented generation (RAG) solutions, including document ingestion ...

AI Developer/Engineer

Denver, CO · On-site

$111K - $145K/yr

... Engineer. Connect for Health Colorado is a public, non-profit entity established by the Colorado ... Implement and maintain retrieval-augmented generation (RAG) solutions, including document ingestion ...

Support production deployment of ML models, LLM applications, RAG pipelines, and agentic AI systems while collaborating with AI/ML engineers to productionize model serving, inference pipelines, and ...

AI/ML Engineer

Colorado Springs, CO · Remote

$190K - $220K/yr

... RAG, graph, hybrid). * Write clean, efficient Python code for data ingestion, feature engineering ... embeddings, and inference services. * Experiment with fine-tuning and optimization of LLMs and task ...

Integration of large language models, embeddings, and retrieval-augmented generation (RAG) systems ... Prompt engineering, model selection, and build-versus-buy tradeoffs balancing quality, latency, and ...

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 ...

New

RAG and CAG architecture: embeddings, retrieval, re-ranking, caching strategies. We use LlamaIndex ... We expect our engineers to use AI as a force multiplier on their own output. * Strong intuition for ...

Who We Are Looking For We're hiring a Staff Machine Learning Engineer to help move forward the ML platform that every AI initiative at AppFolio depends on -- training, fine-tuning, inference, RAG ...

RAG and CAG architecture: embeddings, retrieval, re-ranking, caching strategies. We use LlamaIndex ... We expect our engineers to use AI as a force multiplier on their own output. * Strong intuition for ...

RAG and CAG architecture: embeddings, retrieval, re-ranking, caching strategies. We use LlamaIndex ... We expect our engineers to use AI as a force multiplier on their own output. * Strong intuition for ...

Who We Are Looking For We're hiring a Staff Machine Learning Engineer to help move forward the ML platform that every AI initiative at AppFolio depends on -- training, fine-tuning, inference, RAG ...

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 ...

Sr. Staff AI/ML Engineer

Denver, CO · On-site

$245K - $272K/yr

This includes developing core platform capabilities - agent orchestration, RAG infrastructure, eval ... We're a small, high-impact group of ML engineers and platform builders working closely with Product ...

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Showing results 1-20

Rag Engineer information

See Colorado salary details

$62.6K

$95.2K

$161.4K

How much do rag engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for rag engineer in Colorado is $95,174.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,000.00 and $110,400.00 per year, depending on experience, location, and employer.

What is the difference between Rag Engineer vs Textile Technician?

AspectRag EngineerTextile Technician
Required CredentialsEngineering degree, technical certificationsDiploma or degree in textiles or related field
Work EnvironmentFactories, manufacturing plants, R&D labsTextile mills, production facilities, quality control labs
Industry UsageDesigning and improving rag production processesMonitoring textile quality, testing fabrics

While both roles involve working within the textile industry, a Rag Engineer primarily focuses on the engineering aspects of rag production, process optimization, and machinery, whereas a Textile Technician concentrates on fabric testing, quality control, and ensuring textile standards are met. The roles often overlap in industry settings but differ in technical focus and responsibilities.

What are popular job titles related to Rag Engineer jobs in Colorado? For Rag Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Rag Engineer jobs in Colorado look for? The top searched job categories for Rag Engineer jobs in Colorado are:
Infographic showing various Rag Engineer job openings in Colorado as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $95,174 per year, or $45.8 per hour.

Other

Posted yesterday

New


Job description

Sr. AI/ML Engineer


Duration: 3–6 Months Contract-to-Hire

Job Summary

We are seeking an experienced Sr. AI/ML Engineer to design, build, and deploy scalable AI/ML solutions, including traditional machine learning models and LLM-powered applications. The ideal candidate will have strong hands-on experience with RAG pipelines, agentic AI workflows, Python, vector databases, MLOps, and cloud deployments.

Key Responsibilities
  • Design, develop, and deploy production-ready AI/ML and LLM solutions.
  • 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 and MLflow.
  • Build scalable MLOps, CI/CD, monitoring, and model lifecycle workflows.
  • Optimize AI systems for performance, scalability, latency, and cost.
  • Develop reliable data pipelines with proper validation and reproducibility.
  • Evaluate ML/LLM performance and implement appropriate guardrails and monitoring.
  • Collaborate with cross-functional teams and contribute to AI architecture decisions.
Required Qualifications
  • 5+ years of experience in ML Engineering, Applied AI, or a related field.
  • Strong hands-on Python development experience.
  • Proven experience deploying ML models into production.
  • Hands-on experience building LLM applications, RAG systems, and agentic workflows.
  • Experience with vector databases, embeddings, and semantic/vector search.
  • Experience with LangChain, LlamaIndex, or similar frameworks.
  • Experience with FastAPI, MLflow, or similar model-serving/API technologies.
  • Strong knowledge of CI/CD, containerization, MLOps, and cloud deployments.
  • Understanding of ML and LLM evaluation, monitoring, and performance optimization.
Preferred

Experience with AI platforms, foundation-model fine-tuning, LLM evaluation/monitoring tools, regulated environments, and large-scale inference optimization is a plus.