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Rag Engineer Jobs (NOW HIRING)

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 - LLM, RAG

Palo Alto, CA · On-site

$123K - $168K/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 ...

Senior AI Engineer - LLM, RAG

Palo Alto, CA · On-site

$123K - $168K/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 ...

Senior AI Engineer - LLM, RAG

Palo Alto, CA · On-site

$123K - $168K/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 ...

Senior AI/LLM Engineer

Irving, TX · On-site

$100K - $137K/yr

Faithfulness Relevance NDCG MRR Trace-level RAG evaluation (Langfuse) Data Engineering & ETL Prefect 2.x / 3.x Flows, tasks, futures Deployments (YAML) Scheduling ETL/ELT design Schema evolution ...

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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 Jul 19, 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 does a RAG engineer do?

A RAG engineer specializes in managing and analyzing Red, Amber, and Green (RAG) status indicators to monitor project or system performance. They often work with data visualization tools and reporting systems to identify issues and support decision-making in technical or operational environments.

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.

Which 3 jobs will survive AI?

For a Rag Engineer, roles that require complex manual dexterity, problem-solving in unpredictable environments, or specialized craftsmanship are less likely to be automated by AI. These include skilled trades such as welding, electrical work, and mechanical repair, which depend on hands-on expertise and adaptability. Continuous learning and certification in specialized tools or techniques help ensure job security in evolving technological landscapes.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles may involve leading projects, developing innovative algorithms, and working with large datasets, usually in a corporate or research environment. Compensation at this level reflects significant expertise, experience, and responsibility in the AI field.

What engineers make $500,000?

Senior engineers in specialized fields such as petroleum, aerospace, or software engineering can earn $500,000 or more annually, especially with experience, advanced skills, and leadership roles. High compensation often involves working in high-demand industries, holding advanced certifications, or taking on executive-level 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 July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $90,511 per year, or $43.5 per hour.
AI Engineer (GenAI & RAG)

AI Engineer (GenAI & RAG)

HTC Global Services

Grand Rapids, MI • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Job description

Job Title: Lead AI Engineer (GenAI & RAG) Overview / Summary

We are seeking an experienced Python Developer with 10+ years of software engineering experience, including 1+ years of experience with AI/RAG.

Key Responsibilities
  • Lead onsite and offshore development teams.
  • Help the product owner and development team achieve customer satisfaction.
  • Connect with stakeholders to understand customer requirements in detail and translate business requirements for the offshore team.
  • Remove impediments and coach the team on resolving blockers.
  • Help development teams identify and address gaps in the agile framework.
  • Resolve conflicts and issues that occur during project execution.
  • Support the product owner by providing clarifications when needed.
  • Document business meeting requirements and notes, and track and close action items.
Required Qualifications
  • 10+ years of experience in software engineering and/or data science.
  • 1+ years of experience in AI/RAG/ML development roles.
  • Strong knowledge of Retrieval-Augmented Generation (RAG).
  • Knowledge of machine learning, deep learning, and natural language processing (NLP).
  • Knowledge of Azure services.
  • Understanding of APIs, microservices, and distributed systems.
  • Knowledge of vector databases.
  • Understanding of DevOps/CI-CD pipelines for machine learning and AI.
  • Exposure to AI governance and compliance.
  • Good communication skills.

What Makes HTC A Great Place To Build Your Future

HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you ll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You ll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.

At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.

Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.

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