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Remote Rag Jobs in Denver, CO (NOW HIRING)

Sovrn

Principal Software Engineer

Boulder, CO · On-site +1

$140K - $187K/yr

RAG, tool use, multi-step agentic workflows, prompt engineering, and evaluation frameworks * Strong ... For exceptional candidates we would consider remote locations in these states: AZ, CA, CO, GA, MD ...

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 ...

In Tandem

AI Engineer

Denver, CO · On-site +1

$100K - $135K/yr

Remote USA - In Tandem Compensation: $100,000 - $135,000 / year Description At In Tandem, we build ... RAG. * Comfortable with AWS and the devops this role owns: Docker, CI/CD, monitoring, and ...

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Remote Rag information

See Denver, CO salary details

$17

$22

$24

How much do remote rag jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for remote rag in Denver, CO is $22.13, according to ZipRecruiter salary data. Most workers in this role earn between $18.56 and $23.51 per hour, depending on experience, location, and employer.

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 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 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.
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Remote Rag jobs near you
Infographic showing various Remote Rag job openings in Denver, CO as of July 2026, with employment types broken down into 2% Locum Tenens, 5% As Needed, 85% Full Time, 4% Part Time, and 4% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $46,033 per year, or $22.1 per hour.

Senior Software Engineer, AI Platform (US - Remote or Calgary)

Syndio

Denver, CO • Remote

$126K - $166K/yr

Full-time

Posted 3 days ago

New

Job description

Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees?

Syndio is the leading pay governance and compensation intelligence platform. We help organizations make better pay decisions at every stage of the compensation lifecycle, from leveling and offers to promotions and merit. Our platform gives HR, compensation, and finance leaders the data and decision support they need to govern pay fairly, compliantly, and with confidence. We partner with many of the world's most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance and analyzing pay for over 10 million employees across the world.

Join us in our mission to help companies make smarter pay decisions they can trust!

About the Role:

Syndi is Syndio's AI platform — one shared agent experience (in-product chat, Slack, Teams) serving our product lines, built on syndi-api: an agent runtime owning orchestration, tool calling, memory, RAG, evals, and observability, live in production today. The platform is young (v1 shipped this quarter), moving fast, and designed around a clear operating model: product teams contribute domain content through APIs, evals, and knowledge — the platform owns the experience.

We're hiring a staff-level engineer to take ownership of major runtime surfaces and grow into a technical owner of the platform. This is a high-autonomy role on a small team (3–4 engineers): you'll design, ship, and operate systems end-to-end, and you'll work directly with product-team owners through the platform's contribution seams.

What You'll Work On
  • Core runtime surfaces of syndi-api: the agent loop, tool execution and registry, memory, context management (Python, Postgres, Claude on Vertex, GCP).
  • The eval system — offline gates and online detector/judge evals written onto production traces — and its growth as product teams adopt it.
  • Production operation: observability (Datadog LLM Obs), incident response, the reliability of an agent surface real customers use.
  • The platform's contribution seams: reviewing product teams' tool wrappers and evals, evolving the GET /tools registry and drift-detection contract.
  • Clarifying, designing, and implementing compliance and legal requirements for Syndi.
What We're Looking For
  • 5+ years building production backend systems; deep comfort with Python, relational stores, and cloud infra (we're on GCP/Kubernetes).
  • You've built LLM-powered systems in production — an agent loop, tool-calling integration, RAG, or eval infrastructure — and have opinions from the scar tissue.
  • You design for operability: legal compliance, tracing, evals, and kill switches are part of the feature, not afterthoughts.
  • You can own a technical domain with light supervision: propose direction in writing with clear API specs, take review, ship, and carry the pager for what you shipped.
  • Strong written communication — our operating model runs on design docs and PR review across team boundaries.
  • Nice to have: experience being the platform side of a platform/product relationship; SSE/streaming systems; compliance-adjacent engineering (data minimization, auditability); prior Staff scope.
Why you'll love it here: