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Retrieval Augmented Generation Jobs in Seattle, WA

AI Engineer

Bothell, WA

$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 ...

Sr. AI Engineer

Everett, WA · On-site

$115K - $158K/yr

Design and implement Retrieval-Augmented Generation (RAG) solutions leveraging enterprise knowledge, business data, and structured information sources. * Build and orchestrate AI agents using modern ...

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 ...

... Retrieval-Augmented Generation (RAG) systems and LLM-based solutions to enhance financial knowledge retrieval and decision support Proactively identify and solve challenges related to GenAI solutions ...

Work hands-on with agent frameworks, retrieval-augmented generation pipelines, and LLM-powered systems in production. - Entrepreneurial team: We move fast, experiment often, and ship real products.

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 ...

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 ...

... Retrieval-Augmented Generation (RAG) systems and LLM-based solutions to enhance financial knowledge retrieval and decision support Proactively identify and solve challenges related to GenAI solutions ...

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 Staff AI Engineer

Seattle, WA · On-site

$118K - $163K/yr

... retrieval-augmented generation (RAG), and advanced text generation techniques. • Proven experience implementing parameter-efficient fine-tuning (PEFT) techniques (e.g., LoRA) to customize and ...

Senior AI Architect

Seattle, WA · On-site

$135K - $203K/yr

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 ...

Build advanced retrieval-augmented generation (RAG) systems including vector databases, embedding strategies, chunking optimization, hybrid search, re-ranking, and multi-source data synthesis

Principal Research Software Engineer

Redmond, WA · On-site

$151K - $202K/yr

Apply modern AI engineering practices-including prompt design, retrieval-augmented generation, and evaluation frameworks. * Contribute to model experimentation and adaptation, such as fine-tuning ...

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 ...

Familiarity with retrieval-augmented generation (RAG), vector databases, and enterprise AI architectures preferred. * Demonstrated ability to influence technical strategy across cross-functional ...

Senior Software Engineer, Security AI

Redmond, WA · On-site

$137K - $180K/yr

In this hands-on engineering role, you will design, build, and operate production AI services that combine large language models, retrieval-augmented generation, agent-based workflows, knowledge ...

Senior AI Engineer, Security AI

Redmond, WA · On-site

$128K - $175K/yr

In this individual contributor role, you will design, develop, evaluate, and improve AI capabilities built on large language models, agentic workflows, retrieval-augmented generation, knowledge ...

Showing results 21-40

Retrieval Augmented Generation information

What does a retrieval augmented generation engineer do?

A Retrieval Augmented Generation engineer typically spends their day designing and implementing systems that combine information retrieval with advanced generative models, such as large language models. This includes fine-tuning models, integrating external data sources, developing vector search pipelines, and evaluating output quality. Collaboration with data scientists, machine learning engineers, and product teams is common to ensure the solutions meet user requirements and scale effectively. Additionally, RAG engineers often troubleshoot issues, monitor model performance in production, and stay informed about the latest advancements in AI and information retrieval.

What is a retrieval augmented generation?

A Retrieval Augmented Generation (RAG) job typically involves developing and optimizing AI systems that enhance text generation by incorporating external knowledge retrieved from relevant sources. Professionals in this field work on integrating retrieval mechanisms with large language models to improve the relevance, accuracy, and factual grounding of generated content. Common responsibilities include designing retrieval systems, fine-tuning language models, optimizing performance, and ensuring the seamless integration of factual data into AI-generated text. This role is highly interdisciplinary, involving expertise in natural language processing (NLP), machine learning, and information retrieval.

What skills and qualifications are needed for retrieval augmented generation?

To thrive in a Retrieval Augmented Generation (RAG) engineering role, you need a solid background in machine learning, natural language processing (NLP), and experience with scalable information retrieval systems, typically supported by a relevant degree in computer science or a related field. Familiarity with tools such as Python, PyTorch or TensorFlow, vector databases, and search platforms like Elasticsearch is essential, along with practical experience deploying and tuning RAG pipelines. Strong problem-solving skills, a collaborative mindset, and effective communication abilities set outstanding professionals apart in this field. These competencies are crucial for designing, implementing, and optimizing hybrid retrieval-generation AI systems that address complex, real-world information needs.

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Infographic showing various Retrieval Augmented Generation job openings in Seattle, WA as of August 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 80% In-person, and 20% Remote job distribution.

$115K - $231K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Job description

Company Overview

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.

Overview

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.

Responsibilities
  • 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.
Qualifications
  • 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.

EEOResearch shows that women and underrepresented groups tend to apply to jobs only when they check every box on a job posting. If you're 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.Employment Type: FULL_TIME

Verathon logo

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