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Rag Developer Jobs in Oregon (NOW HIRING)

LTS

Senior Forward Deployed Engineer (FDE)

OR · On-site +1

$104K - $143K/yr

Develop solutions utilizing large language models (LLMs), retrieval-augmented generation (RAG ... Experience with CI/CD pipelines, version control, automated testing, and DevOps practices. * Strong ...

Defense Unicorns

OR · On-site

APIs, data processing pipelines, integration layers, Retrieval Augmented Generation (RAG), and context engineering patterns. * Deploy and operate systems in cloud, on-prem, and air-gapped ...

Shift Technology

OR · Hybrid

... data engineering, coding, business understanding and client engagement. * Our company is small ... Design, develop and deploy LLM-based solutions (RAG, embeddings, instruction tuning) for claims ...

Robots and Pencils

OR · On-site

Architect and build LLM-powered systems, including prompt engineering, function/tool calling, multi-agent orchestration, RAG patterns, vector databases, embeddings, and streaming responses * Design ...

Trilon

$114K - $137K/yr

Reporting to the Vice President, Data & DevOps, this role is responsible for designing, developing ... Collaborate with the AI and Innovation vTeam to prepare and structure data for AI, ML, and RAG ...

New

Grafana Labs

Staff AI Engineer | US | Remote

OR · Remote

Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal ... Previous experience in open source or developer-focused SaaS companies -Grafana is built on OSS and ...

ClickHouse

OR · On-site

$114K - $137K/yr

... developer experience. About the role As a Senior Software Engineer specializing in Python and the ... stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML ...

Affinity.co

OR · On-site

$104K - $143K/yr

As a Senior AI Engineer , you will collaborate with machine learning engineers, data engineers ... Build RAG systems: Architect, prototype, and deploy RAG pipelines, combining vector search, hybrid ...

Clari + Salesloft

Principal Software Engineer, AI

OR · On-site +1

$134K - $180K/yr

... RAG engines, and retrieval/search infrastructure - that give AI agents access to the best possible ... Define and evolve the APIs, SDKs, and developer interfaces that teams use to interact with the ...

Robots and Pencils

OR · On-site

$64.75 - $85/hr

Design advanced RAG, Agentic RAG, and multi-agent orchestration architectures leveraging AWS-native ... Engineering Leadership & Delivery Excellence * Provide architectural oversight to Forward Deployed ...

Cotiviti

$125K - $172K/yr

LLM evaluation, retrieval-augmented generation (RAG), ranking, or large-scale classification ... Demonstrated ability to drive cross-functional alignment across engineering, product, and analytics.

Grafana Labs

Staff AI Engineer | US | Remote

OR · Remote

Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal ... in developer productivity. You'll have access to AI coding assistants (Claude Code, Gemini CLI ...

Grafana Labs

Senior AI Engineer | US | Remote

OR · Remote

$55.25 - $71.25/hr

Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal ... in developer productivity. You'll have access to AI coding assistants (Claude Code, Gemini CLI ...

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Rag Developer information

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or engineering management can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries like technology or finance. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant growth potential.

What is the difference between Rag Developer vs Textile Technician?

AspectRag DeveloperTextile Technician
CredentialsTypically requires a diploma or degree in textiles or related fieldRequires similar qualifications, often with additional certifications in textile testing
Work EnvironmentFactories, textile mills, production plantsLaboratories, quality control departments, manufacturing facilities
Industry UsageUsed in textile manufacturing to develop and process rags for reuse or recyclingInvolved in testing, quality assurance, and technical support in textile production

Both Rag Developers and Textile Technicians work within the textile industry, often in manufacturing settings. Rag Developers focus on creating and processing recycled rags, while Textile Technicians handle testing and quality control. The roles share similar educational backgrounds and work environments, but their specific responsibilities differ based on their focus within textile production.

What does a RAG engineer do?

A RAG (Red, Amber, Green) engineer develops and maintains systems that use RAG status indicators to monitor project or system health. They often work with data visualization tools, automate status reporting, and analyze performance metrics to support decision-making. Strong skills in data analysis, programming, and understanding of project management are typically required.

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, AI research director, or executive roles like AI CTO. These roles often require advanced skills in programming, data analysis, and experience with AI frameworks, and they may involve leadership responsibilities or specialized expertise in cutting-edge AI technologies.

Which 3 jobs will survive AI?

For a Rag Developer, roles that require complex manual craftsmanship, creative problem-solving, and specialized knowledge are more likely to persist despite AI advancements. Jobs involving intricate textile design, custom tailoring, and quality inspection rely on human skills and judgment that AI cannot fully replicate. Developing expertise in these areas, along with staying updated on industry tools, can help ensure job security.
What are popular job titles related to Rag Developer jobs in Oregon? For Rag Developer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Rag Developer jobs in Oregon look for? The top searched job categories for Rag Developer jobs in Oregon are:
What cities in Oregon are hiring for Rag Developer jobs? Cities in Oregon with the most Rag Developer job openings:
Rag Developer jobs near you
Infographic showing various Rag Developer job openings in Oregon as of July 2026, with employment types broken down into 100% Contract. Highlights an 60% In-person, and 40% Remote job distribution.
Senior Forward Deployed Engineer (FDE)

Senior Forward Deployed Engineer (FDE)

LTS

OR • On-site, Remote

$104K - $143K/yr

Other

Posted 9 days ago

Job description

Location: Remote (U.S.)

Other Considerations: U.S. Citizen or Permanent Resident Required with the ability to obtain a Public Trust

LTS is seeking a Senior Forward Deployed Engineer (FDE) to lead the design, development, and deployment of AI-powered software solutions that solve complex business and mission challenges. This is a highly customer-facing role that combines software engineering, AI/ML expertise, technical leadership, and solution architecture to rapidly deliver innovative, production-ready solutions.

The ideal candidate is an experienced engineer who excels in ambiguous environments, partners effectively with executive and technical stakeholders, and leads cross-functional teams through the full solution lifecycle. Senior Forward Deployed Engineers serve as trusted advisors to customers while remaining hands-on in solution delivery, mentoring engineering teams, and helping shape technical strategy across engagements.

What You'll Do:

Customer Engagement & Technical Leadership

  • Partner directly with customer stakeholders to understand business objectives, operational challenges, and technical requirements.
  • Translate complex customer needs into scalable AI-enabled software solutions.
  • Lead technical discovery sessions, architecture workshops, and solution design discussions.
  • Collaborate with customer leadership, product owners, architects, and engineering teams to drive successful project outcomes.
  • Serve as a trusted technical advisor throughout solution implementation and deployment.
  • Build and maintain strong customer relationships while managing expectations and ensuring successful delivery.
  • Guide customers in adopting AI technologies and modern engineering best practices.
  • Mentor engineering teams and promote technical excellence across engagements.

Solution Engineering

  • Design, develop, test, and deploy AI-enabled applications, intelligent automation solutions, and modern software platforms.
  • Build scalable backend services, APIs, integrations, and workflows using modern software engineering practices.
  • Develop solutions utilizing large language models (LLMs), retrieval-augmented generation (RAG), agentic AI, machine learning, and other emerging AI technologies where appropriate.
  • Design secure, scalable, and maintainable architectures that balance performance, reliability, governance, and cost.
  • Deliver clean, production-quality, well-tested, and well-documented code.
  • Implement CI/CD pipelines, automated testing, monitoring, logging, and observability.
  • Develop reusable frameworks, software components, documentation, and engineering accelerators that improve delivery across projects.

Delivery & Practice Leadership

  • Lead technical workstreams and provide engineering leadership across multiple projects.
  • Support solution planning, estimation, architecture reviews, and technical decision-making.
  • Mentor junior and mid-level engineers through design reviews, code reviews, and technical coaching.
  • Contribute to proposals, technical presentations, demonstrations, proof-of-concepts (POCs), and customer solution workshops.
  • Help establish engineering standards, best practices, and reusable intellectual property across the organization.
  • Stay current on emerging AI technologies, cloud platforms, software engineering trends, and industry best practices.

What We're Looking For:

  • Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical discipline (or equivalent experience).
  • 5+ years of experience in software engineering, AI engineering, machine learning, data engineering, or related technical roles.
  • Experience designing and developing modern software applications using one or more programming languages such as Python, Java, C#, JavaScript, or TypeScript.
  • Experience designing, building, and deploying AI/ML or Generative AI solutions in production environments.
  • Experience leading technical workstreams and translating complex business requirements into scalable technical solutions.
  • Experience developing REST APIs, microservices, distributed systems, or enterprise integrations.
  • Experience working with cloud platforms such as AWS, Microsoft Azure, Google Cloud Platform, or hybrid cloud environments.
  • Experience with CI/CD pipelines, version control, automated testing, and DevOps practices.
  • Strong customer-facing communication, presentation, and consulting skills.
  • Proven ability to lead technical teams in fast-paced, agile delivery environments.
  • Ability to travel as required by project needs.

Nice To Have:

  • Experience developing Generative AI applications using LLMs, Retrieval-Augmented Generation (RAG), agentic AI, intelligent automation, or multi-agent systems.
  • Experience with vector databases, embeddings, prompt engineering, model evaluation, AI governance, or AI safety practices.
  • Experience implementing MLOps or LLMOps practices including model deployment, monitoring, evaluation, and lifecycle management.
  • Experience with containerization and orchestration technologies such as Docker and Kubernetes.
  • Experience with modern data engineering technologies including Spark, Airflow, Kafka, streaming platforms, or enterprise data architectures.
  • Experience integrating enterprise systems through APIs, event-driven architectures, or messaging platforms.
  • Familiarity with security, privacy, governance, and compliance best practices.
  • Experience supporting federal, healthcare, defense, or other regulated industry customers.
  • Experience contributing to business development activities, technical proposals, solution demonstrations, or proof-of-concepts.
  • Experience mentoring engineers and building reusable engineering frameworks, accelerators, or technical assets.

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