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Remote Rag Jobs (NOW HIRING)

LTS

RAG and Evaluation Engineer

OR · On-site +1

LTS is seeking a RAG & Evaluation Engineer to join a small, senior engineering team applying ... Demonstrated experience in a remote work environment. Nice to Have: * Code-as-corpus retrieval ...

LTS

RAG and Evaluation Engineer

LTS is seeking a RAG & Evaluation Engineer to join a small, senior engineering team applying ... Demonstrated experience in a remote work environment. Nice to Have: * Code-as-corpus retrieval ...

Global Channel Management

Remote AI Architect

$64.50 - $85/hr

About the job Remote AI Architect Remote AI Architect needs 10+ years' experience enterprise-wide ... Background in RAG systems, model fine tuning, embeddings, vector storage, and retrieval ...

Globalchannelmanagement

Remote AI Architect

Boston, MA · Remote

$90 - $92/hr

Remote AI Architect needs 10+ years' experience enterprise-wide AI programs or platform buildouts ... Background in RAG systems, model fine tuning, embeddings, vector storage, and retrieval ...

Huzzle

AI Engineer - Remote

Implement prompt engineering strategies and retrieval-augmented generation (RAG) pipelines ... Experience working in remote or distributed teams is a plus. Benefits Competitive salary based on ...

Govcio LLC

Ruby on Rails Developer (Remote)

$90K - $100K/yr

This is a fully remote position open to candidates within the Continental United States (CONUS ... Contribute to RAG (Retrieval-Augmented Generation) implementation, including embedding strategy ...

Futran Tech Solutions Pvt. Ltd.

AI Architect

Austin, TX (Remote) Required Skills & Competencies * Proven experience architecting enterprise GenAI solutions and reference architectures. * Strong understanding of LLMs, prompt engineering, RAG ...

Futran Tech Solutions Pvt. Ltd.

Data Scientist

New Demand - Data Scientist Remote * Total Years of experience 10-12 years * 6 months+ * Occasional ... Elastic Search, Generative AI Fundamentals (Strong), Python for Data Science (Strong), RAG, Vector ...

Zortech Solutions

GenAI Architect

Nashville, TN · Remote

Job Title GenAI Architect Duration: 6+ Months Location Nashville, TN Remote Work 100% Primary ... Experience with evaluation validation and refinement of results from GenerativeAI RAG based ...

Rula Health

Principal AI Engineer (Remote)

$280K - $330K/yr

... is a remote-first company. We currently hire in most U.S. states, with the exception of Hawaii ... RAG, agentic loops) while setting the standard for technical excellence and safety in a regulated ...

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How much do remote rag jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for remote rag in the United States is $21.50, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $22.84 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Rag, and why are they important?

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 (Retrieval-Augmented Generation) specialist?

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 (Responsible AI Governance) 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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Infographic showing various Remote Rag job openings in the United States as of June 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 37% Physical, 3% Hybrid, and 60% Remote job distribution, with an average salary of $44,724 per year, or $21.5 per hour.
RAG and Evaluation Engineer

RAG and Evaluation Engineer

LTS

OR • On-site, Remote

Other

Medical

Posted 24 days ago

Job description

LTS is seeking a RAG & Evaluation Engineer to join a small, senior engineering team applying frontier AI to one of the most consequential legacy systems still running in production today.

The mission: build agents that read, translate, and modernize a decades-old codebase that millions of people quietly depend on. The work has executive backing, real users, and a customer who knows exactly what they're buying. Specifics shared once we're talking.

The team is small by design. Every seat carries unusual leverage, and we hire people who are already deep in this work. We use AI tooling natively - agents in parallel, model as collaborator, no exceptions.

What You'll Do:

The RAG & Evaluation Engineer owns the knowledge surface and the eval harness. Ingestion pipelines for source code, structured metadata, technical documentation, patches, and additional corpora the customer provides. Retrieval quality across chunking, embeddings, hybrid retrieval, reranking, freshness. Benchmarks for translation accuracy, dependency-map correctness, and overall agent quality. The feedback loop from production usage back into evals and retrieval lives here.

  • Own the knowledge surface - ingestion pipelines for source code, structured metadata, technical documentation, patches, and additional corpora the customer provides.
  • Own retrieval quality - chunking, embeddings, hybrid retrieval, reranking, and freshness.
  • Own the eval harness - benchmarks for translation accuracy, dependency-map correctness, and overall agent quality.
  • Run A/B testing and regression detection across prompts, retrieval, and model changes.
  • Operate the feedback loop from production usage back into evals and retrieval.
  • Define what "good" means for the platform when no one else has a clear view, so the team can tell whether the agent is actually improving.
  • Pair with the Agent Engineers on the prompt-and-eval iteration cycle.

What We're Looking For:

  • Bachelor's degree in Computer Science, Engineering, Information Science, or a related field, plus 4 years of professional software engineering experience; equivalent experience may substitute for the degree requirement.
  • Has shipped a production RAG system with quality the candidate can describe in numbers (rigor matters more than scale).
  • Ability to work in a fast-paced, collaborative environment.
  • Production experience with retrieval pipelines - ingestion, chunking, embedding, hybrid retrieval, reranking.
  • Strong applied evaluation skills - benchmark design, regression detection, LLM-as-judge patterns.
  • Knows when BM25 beats embeddings and when neither is enough.
  • Measures everything they ship; opinions about chunking are backed by benchmarks.
  • Patient with detail; comfortable defining metrics before the team has agreed on them.
  • Heavy native use of AI tooling: agents in parallel, model as collaborator.
  • Strong TypeScript or Python.
  • Demonstrated experience in a remote work environment.

Nice to Have:

  • Code-as-corpus retrieval (search over source code rather than prose).
  • Applied IR or search-engine background.
  • Synthetic data generation and LLM-as-judge patterns.
  • Open-source contributions to retrieval, eval, or RAG tooling.
  • Experience integrating retrieval feedback loops with production usage.
  • Healthcare IT or legacy modernization domain experience.
  • Public technical writing or conference talks on retrieval or evaluation.

What's in it for you? 

  • The opportunity to support high visibility federal missions in IT and healthcare
  • A culture that values innovation, growth, collaboration, and quality
  • Access to cutting-edge tools and technologies
  • Comprehensive benefits for you and your family
  • A career path that rewards ambition and performance

If you're ready to push boundaries, sharpen your skills, and join a team that is passionate about building what's next, we'd love to meet you. Apply today and let's build a future together! 

Apply