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Rag Engineer Jobs (NOW HIRING)

GCP RAG Engineer Location: Hybrid (Atlanta, GA) Job Overview: We are seeking a GCP RAG Engineer who is experienced in fine-tuning and improving search functions within large-scale systems. The ideal ...

Senior Data / RAG Engineer

Boston, MA · Hybrid

$115.20K - $156.40K/yr

Senior Data / RAG Engineer Location: Chennai / Hybrid Employment Type: Full-time Role Overview: We're looking for a Senior Data Engineer with deep expertise in RAG (Retrieval-Augmented Generation ...

Wipfli seeks a Senior RAG Engineer to develop AI-powered solutions for their clients. This role involves full-stack application design, API development, and working with data scientists and engineers ...

Senior AI Engineer - LLM, RAG

Palo Alto, CA · On-site

$123.20K - $169.10K/yr

Senior AI Engineer - RAG Systems Bright.AI is a high-growth Physical AI company transforming how businesses interact with the physical world through intelligent automation. Our AI platform processes ...

Senior AI Engineer - LLM, RAG

Palo Alto, CA · On-site

$123.20K - $169.10K/yr

Senior AI Engineer - LLM, RAG Bright.AI is a high-growth Physical AI company transforming how businesses interact with the physical world through intelligent automation. Our AI platform processes ...

Senior AI Engineer - LLM, RAG

Palo Alto, CA · On-site

$122.80K - $168.70K/yr

Senior AI Engineer - RAG Systems Bright.AI is a high-growth Physical AI company transforming how businesses interact with the physical world through intelligent automation. Our AI platform processes ...

Senior AI Engineer - LLM, RAG

Palo Alto, CA · On-site

$122.80K - $168.70K/yr

Senior AI Engineer - RAG Systems Bright.AI is a high-growth Physical AI company transforming how businesses interact with the physical world through intelligent automation. Our AI platform processes ...

Senior AI Engineer

$142K - $191K/yr

As a Senior RAG Engineer, you will play a pivotal role in advancing our AI-driven functional requirements documentation platform, an enterprise application used across the firm to automate the ...

Senior AI Engineer

Milwaukee, WI · Remote

$142K - $191K/yr

As a Senior RAG Engineer, you will play a pivotal role in advancing our AI-driven functional requirements documentation platform, an enterprise application used across the firm to automate the ...

Data Engineer - Gen AI & RAG

Manhattan, NY · On-site

$126.20K - $151.60K/yr

Data Engineer - Gen AI & RAG We are seeking an experienced Data Engineer with strong expertise in Generative AI, RAG architecture, and modern cloud data platforms. The ideal candidate will be ...

Senior AI Engineer - LLM, RAG

Palo Alto, CA · On-site

$123K - $168.90K/yr

... RAG-enabled systems in production settings. • Stay up to date with the latest advances in LLM architectures, retrieval methods, and prompt engineering, and integrate emerging techniques into the ...

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Rag Engineer information

See salary details

$59.5K

$90.5K

$153.5K

How much do rag engineer jobs pay per year?

As of Jun 4, 2026, the average yearly pay for rag engineer in the United States is $90,511.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,500.00 and $105,000.00 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.

More about Rag Engineer jobs
What cities are hiring for Rag Engineer jobs? Cities with the most Rag Engineer job openings:
What states have the most Rag Engineer jobs? States with the most job openings for Rag Engineer jobs include:
Infographic showing various Rag Engineer job openings in the United States as of May 2026, with employment types broken down into 49% Full Time, 13% Part Time, and 38% Contract. Highlights an 76% Physical, 5% Hybrid, and 19% Remote job distribution, with an average salary of $90,511 per year, or $43.5 per hour.
GCP RAG Engineer

GCP RAG Engineer

CirrusLabs

Alpharetta, GA • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

We are CirrusLabs. Our vision is to become the world's most sought-after niche digital transformation company that helps customers realize value through innovation. Our mission is to co-create success with our customers, partners and community. Our goal is to enable employees to dream, grow and make things happen. We are committed to excellence. We are a dependable partner organization that delivers on commitments. We strive to maintain integrity with our employees and customers. Every action we take is driven by value. The core of who we are is through our well-knit teams and employees. You are the core of a values driven organization.
You have an entrepreneurial spirit. You enjoy working as a part of well-knit teams. You value the team over the individual. You welcome diversity at work and within the greater community. You aren't afraid to take risks. You appreciate a growth path with your leadership team that journeys how you can grow inside and outside of the organization. You thrive upon continuing education programs that your company sponsors to strengthen your skills and for you to become a thought leader ahead of the industry curve.
You are excited about creating change because your skills can help the greater good of every customer, industry and community. We are hiring a talented to join our team. If you're excited to be part of a winning team, CirrusLabs (http://www.cirruslabs.io) is a great place to grow your career.
Job Title: GCP RAG Engineer
Location:
Hybrid (Atlanta, GA)

Job Overview:
We are seeking a GCP RAG Engineer who is experienced in fine-tuning and improving search functions within large-scale systems. The ideal candidate will have a strong background in Google Cloud Platform (GCP), Artificial Intelligence (AI) technologies, and Vertex DB. This role focuses on enhancing search capabilities in complex environments, leveraging cutting-edge AI-driven techniques and GCP tools to ensure seamless search experiences across large datasets.
Key Responsibilities:

  • Fine-tune and optimize search functions within a large-scale system environment using GCP services.
  • Leverage GCP AI tools and Vertex DB to build, test, and deploy models for improving search accuracy and efficiency.
  • Work on enhancing retrieval-augmented generation (RAG) models to increase the relevance and precision of search results.
  • Collaborate with cross-functional teams, including data scientists, machine learning engineers, and backend developers, to deliver scalable search solutions.
  • Utilize data from large-scale databases to continuously improve search algorithms.
  • Conduct performance testing, evaluate system bottlenecks, and suggest improvements.
  • Stay up-to-date with the latest AI and search engine optimization techniques and integrate them into the GCP architecture.
  • Provide technical expertise in developing innovative solutions using Google Cloud AI/Client products.
Required Qualifications:
  • 5+ years of experience working with Google Cloud Platform (GCP), including AI/Client services and Vertex DB.
  • Strong knowledge of retrieval-augmented generation (RAG) and experience in enhancing search models at scale.
  • Expertise in large-scale search systems, with a proven track record of improving search functionalities and performance.
  • Proficiency in Python, TensorFlow, or other machine learning frameworks.
  • Experience with GCP AI services, such as BigQuery, Cloud AI APIs, Vertex AI, and other relevant tools.
  • Hands-on experience in developing and fine-tuning machine learning models for search algorithms.
  • Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
Preferred Qualifications:
  • Experience working with natural language processing (NLP), search ranking models, and information retrieval systems.
  • Knowledge of distributed systems, big data frameworks, and handling massive datasets efficiently.
  • Familiarity with AI-driven search optimizations and cloud infrastructure management.
  • Prior experience working in an Agile environment.