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Remote Rag Jobs in Aurora, CO (NOW HIRING)

The Mutual Group

Lead AI Engineer - AWS Platform

Denver, CO · On-site +1

$130K - $190K/yr

Build RAG pipelines using vector databases and enterprise data sources * Build machine learning ... Flexible work schedules and hybrid/remote options for eligible positions * Educational assistance ...

Wsgr

Innovations and AI Solutions Engineer

Boulder, CO · On-site +1

This position is available as a hybrid or remote work schedule. Essential Duties, Responsibilities ... RAG) applications. * Familiarity with CI/CD pipelines, build agents, environment promotion, and ...

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Remote Rag information

See Aurora, CO salary details

$17

$21

$24

How much do remote rag jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for remote rag in Aurora, CO is $21.84, according to ZipRecruiter salary data. Most workers in this role earn between $18.32 and $23.22 per hour, depending on experience, location, and employer.

What is a Remote RAG?

A Remote RAG specialist is a professional who works with Retrieval-Augmented Generation (RAG) systems, typically in the field of artificial intelligence and machine learning. RAG combines traditional information retrieval techniques with generative models like large language models to provide more accurate and contextually relevant answers to user queries. Remote RAG specialists often build, fine-tune, and maintain these systems while working from a remote location. They may also work on integrating RAG models into applications, improving retrieval accuracy, and customizing outputs based on user needs.

What are the key skills and qualifications needed to thrive as a Remote RAG?

I'm sorry, but 'Remote Rag' does not appear to be a recognized professional occupation. Please provide a valid job title.

What are some common challenges faced by professionals working in a remote RAG role?

Professionals in remote RAG roles often encounter challenges related to cross-functional collaboration and maintaining clear communication, especially when working across different time zones. Ensuring alignment on ethical AI standards and compliance requirements can be complex, as it typically involves coordinating with data scientists, legal teams, and business stakeholders. Staying current with evolving regulatory frameworks and best practices in AI governance is also essential, demanding continuous learning and adaptability. Building trust and rapport within a remote team can require extra effort, but leveraging digital collaboration tools and regular check-ins can help mitigate these challenges.

What are popular job titles related to Remote Rag jobs in Aurora, CO?

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What job categories do people searching Remote Rag jobs in Aurora, CO look for?

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What cities near Aurora, CO are hiring for Remote Rag jobs?

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Remote Rag jobs near you
Infographic showing various Remote Rag job openings in Aurora, CO as of September 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 76% Physical, 5% Hybrid, and 19% Remote job distribution, with an average salary of $45,435 per year, or $21.8 per hour.

AI/ML Engineer - Agentic AI (Remote)

Englewood, CO • On-site, Remote

Cognizant Technology Solutions
See more jobs at Cognizant Technology Solutionsexternal

$113K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Cognizant rating

7.0

Company rating: 7.0 out of 10

Based on 87 frontline employees who took The Breakroom Quiz

59th of 72 rated business consultants

Job description

AI/ML Engineer - Agentic AI (Remote)
Location: Remote
Employment Type: Full-Time
Job ID: 00070289402
About the Role
As a Senior AI/ML Engineer, you will design, build, and deploy enterprise AI solutions leveraging LLMs, Agentic AI, and RAG architectures. You will collaborate with cross-functional teams to deliver scalable, secure, and production-ready AI applications.
In this role, you will:
  • Build AI solutions using LLMs, agents, and RAG frameworks.
  • Design scalable AI architectures with workflow orchestration, memory, and state management.
  • Evaluate AI systems for quality, hallucinations, regression, and agent effectiveness.
  • Integrate enterprise data sources and develop intelligent AI workflows.
  • Deploy and manage AI applications using LLMOps/MLOps best practices.

Work Model
We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants. We support a healthy work-life balance through our wellbeing programs.
What You Need to Have to Be Considered
  • 8+ years of experience in AI/ML, Data Science, or Software Engineering.
  • Strong understanding of machine learning algorithms, evaluation metrics, and model validation techniques.
  • Expertise in Agentic AI concepts, including LLMs, RAG, memory, reasoning, and prompt engineering.
  • Hands-on experience building AI solutions using OpenAI, Azure OpenAI, Anthropic, Gemini, or similar platforms.
  • Experience with Python and AI frameworks such as LangChain, LangGraph, Semantic Kernel, or LlamaIndex.
  • Proven experience evaluating AI systems, detecting hallucinations, and measuring model performance.
  • Knowledge of scalable architecture, workflow orchestration, and AI governance.
  • Experience deploying production AI solutions using MLOps/LLMOps practices.

These Will Help You Stand Out
  • Experience with multi-agent systems and advanced orchestration frameworks.
  • Cloud expertise in Azure, AWS, or Google Cloud.
  • Knowledge of AI security, compliance, and responsible AI practices.
  • Experience in regulated industries such as healthcare, insurance, or banking.
  • Relevant AI, ML, or cloud certifications.

Salary and Other Compensation:
Applicants will be accepted till 9/18/2026
Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
The annual salary for this position will be in the range of $113,000 - $130,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Our strength is built on our ability to work together. Our diverse backgrounds offer different perspectives and new ways of thinking. It encourages lively discussions, creativity, productivity, and helps us build better solutions for our clients. We want someone who thrives in this setting and is inspired to craft meaningful solutions through true collaboration.
If you are content with ambiguity, excited by change, and excel through autonomy, we'd love to hear from you!
Apply Now!
#LI-IK1
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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