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Ai Rag Jobs in Seattle, WA (NOW HIRING)

AI Engineer

Bothell, WA · On-site

$115K - $231K/yr

Build Retrieval-Augmented Generation (RAG) pipelines, vector search capabilities, and secure data connectors to enable Verathon-owned data usage. * Collaborate with AI Business Partners and other ...

Senior AI Engineer - Privacy

Bellevue, WA · On-site

$117K - $162K/yr

Develop and operationalize RAG (Retrieval-Augmented Generation) pipelines integrating LLMs (e.g ... Build AI-powered automation for privacy operations including intelligent DSR routing, threshold ...

AI Enterprise Architect

Seattle, WA · On-site

$78.50 - $101.25/hr

Expertise in prompt engineering, LLM operations, and GenAI deployment best practices • Distillation, RAG, Fine-tuning • Multi-modal AI, LLMs • Vector Databases, Embeddings • GenAI deployment ...

Build and maintain RAG pipelines leveraging vector databases to enable intelligent search and retrieval * Develop comprehensive evaluation frameworks (evals) to measure, monitor, and improve AI ...

... RAG and retrieval pipelines, MCP servers, and agentic workflows grounded in Whatnot's data, with appropriate PII and access controls • Integrate AI tools with internal systems and data sources via ...

Senior AI Software Engineer

Kent, WA · On-site

$138K - $182K/yr

... RAG pipelines leveraging vector databases to enable intelligent search and retrieval • Develop ... AI system performance, accuracy, and reliability • Create developer tooling, SDKs, and internal ...

Lead AI Engineer

Bellevue, WA · On-site

$115K - $151K/yr

The Lead AI Engineer will lead the development of production-grade LLM systems, focusing on ... optimize RAG pipelines using embeddings, chunking strategies, and vector search. • Experiment ...

Senior AI Software Engineer

Kent, WA · On-site +1

$154K - $231K/yr

Build and maintain RAG pipelines leveraging vector databases to enable intelligent search and retrieval * Develop comprehensive evaluation frameworks (evals) to measure, monitor, and improve AI ...

Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A ...

Senior AI Software Engineer

Kent, WA · On-site

$98.81 - $148.15/hr

Build and maintain RAG pipelines leveraging vector databases to enable intelligent search and retrieval * Develop comprehensive evaluation frameworks (evals) to measure, monitor, and improve AI ...

Showing results 21-40

Ai Rag information

See Seattle, WA salary details

$36.4K

$66.3K

$95K

How much do ai rag jobs pay per year?

As of Aug 9, 2026, the average yearly pay for ai rag in Seattle, WA is $66,285.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,800.00 and $74,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI researcher?

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.

What is the difference between Ai Rag vs Data Analyst?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

What is an AI RAG?

AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.

What are common challenges faced by AI RAG engineers when integrating retrieval systems with large language models?

AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.
What are popular job titles related to Ai Rag jobs in Seattle, WA? For Ai Rag jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Ai Rag jobs in Seattle, WA look for? The top searched job categories for Ai Rag jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Ai Rag jobs? Cities near Seattle, WA with the most Ai Rag job openings:
Infographic showing various Ai Rag job openings in Seattle, WA as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $66,285 per year, or $31.9 per hour.

$115K - $231K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago


Job description

Verathon is a global medical device company focused on supporting customers by being their trusted partner, delivering high-quality products that endure over time and ensure clinical and economic utility. Two areas where Verathon has significantly impacted patient care, and become the market leader in each, are bladder volume measurement and airway management. The company’s BladderScan portable ultrasound and GlideScope video laryngoscopy & bronchoscopy systems effectively address unmet needs for healthcare providers and meaningfully raise the standard of care for patients. Verathon, a subsidiary of Roper Technologies, is headquartered in Bothell, Washington, USA and has international subsidiaries in Canada, Europe and Asia Pacific. For more information, please visit www.verathon.com.


The AI Engineer plays a critical hands-on role in bringing Verathon’s AI strategy to life. This role is responsible for building, configuring, and deploying AI-powered solutions, including custom GPTs, copilots, automations, applications, and agentic workflows, that solve high-impact problems across the company. The AI Engineer partners closely with AI Business Partners and the AI Solutions Architect to translate business needs into scalable, secure, and compliant technical solutions.

This position is ideal for a practical builder who thrives in fast experimentation, iterative development, and enabling real-world value through AI. It includes technical context engineering, assembling prompts, instructions, retrieval logic, and agent workflows that reflect Verathon’s processes and domain knowledge.


  • Design, develop, and deploy AI-powered solutions including custom GPTs, copilots, and agentic workflows using enterprise LLM platforms and APIs.
  • Build Retrieval-Augmented Generation (RAG) pipelines, vector search capabilities, and secure data connectors to enable Verathon-owned data usage.
  • Collaborate with AI Business Partners and other departmental representatives to translate functional requirements and use-case concepts into technical implementations.
  • Translate business-defined context into structured prompts, system instructions, agent behaviors, and RAG retrieval logic (“technical context engineering”).
  • Refine and optimize context injection strategies (prompt templates, chains, tools, memory, retrieval parameters) to improve solution reliability and accuracy.
  • Prototype rapidly, iterate based on user feedback, and deliver production-ready AI solutions with appropriate guardrails.
  • Develop reusable prompts, templates, automations, and components to accelerate future AI solution development.
  • Integrate AI tools with Verathon systems (e.g., Salesforce, Epicor, MasterControl, HRIS) following architecture, security, and compliance standards.
  • Partner with the AI Solutions Architect to evaluate and implement new AI tools and ensure alignment with Verathon’s AI Policy and Roper guidelines.
  • Document solutions clearly and support functional teams through adoption, training, and scaling of deployed AI tools.

  • Bachelor’s degree in computer science, engineering, information systems, data science, or related field.
  • 3–7 years of experience in software development, automation engineering, data engineering, or applied AI development.
  • Hands-on experience with Python, REST APIs, and modern AI/LLM frameworks (e.g., LangChain, Semantic Kernel, LlamaIndex).
  • Experience configuring and deploying AI tools such as ChatGPT Enterprise, Copilot, Claude, or similar enterprise AI platforms.
  • Understanding of Retrieval-Augmented Generation (RAG), vector databases, and prompt design best practices.
  • Familiarity with integration patterns for enterprise systems and cloud environments (Azure/AWS).
  • Demonstrated ability to rapidly experiment, prototype, and iterate AI solutions based on business feedback.
  • Strong collaboration skills and comfort working closely with business and technical stakeholders.

Who You Are

  • A practical builder who enjoys turning ideas into working solutions quickly.
  • Comfortable navigating ambiguity and translating loosely defined requirements into prototypes and production-ready tools.
  • Hands-on with modern AI tools and excited about learning new technologies.
  • Driven by impact; motivated to deploy solutions that make work faster, easier, and smarter across the organization.
  • A collaborative partner who communicates clearly and earns trust through delivery.

Salary range - $115,000.00 - $231,000.00  (Compensation will vary based on skills, experience and location; it is not typical to be hired at or above the top of the salary range).

Full-time employees who are not on a commission plan are eligible for Verathon’s annual bonus plan based on company and individual performance.

Verathon provides a competitive benefits package including medical, dental, vision, basic life insurance, paid holidays, paid time off and a 401(k) matching plan.  For more information, please visit our complete Benefits Summary at https://www.verathon.com/sites/default/files/2026-02/US_HQ_Employee_Benefits_Summary.pdf.


Research shows that women and underrepresented groups tend to apply to jobs only when they check every box on a job posting. If youre currently reading this and hesitating to click Apply for that reason, we encourage you to go for it! Even if you are not a match for this role, we may have another opportunity that may be a great fit.
Why Verathon
Verathon is committed to becoming an AI-native organization where AI is how we work, grow, and win. Join us and help accelerate our transformation by building real AI solutions that unlock innovation, productivity, and operational excellence across healthcare technology.
Verathon is an equal opportunity employer and strongly supports diversity in the workplace. We believe that diverse ideas, opinions and perspectives will build a strong foundation for success. In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Verathon will be based on merit, qualifications, and abilities. Verathon does not discriminate in employment opportunities or practices on the basis of race, color, religion, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by law.

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About Verathon

Sourced by ZipRecruiter

Industry

Medical equipment and supplies manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Bothell, WA, US

Year founded

1984