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Large Language Model Llm Jobs in Oregon (NOW HIRING)

LTS

OR

... Large Language Model (LLM), or machine learning applications. * Strong programming experience in Python. * Experience developing APIs, backend services, and distributed systems. * Experience with ...

AllOne Health, Inc.

AI Full Stack Developer

This role is responsible for endtoend frontend and backend development and for integrating AIdriven capabilities such as intelligent automation, AI agents, and large language model (LLM) services ...

Near AI

LLM Inference Engineer

OR · On-site +1

In this role, you will push the boundaries of how large language models are served. What You'll Be Doing * Architect and maintain production high-traffic LLM serving systems. * Optimize throughput ...

ISACA

Overview The AI Solutions Engineer is responsible for the development, integration, implementation, and maintenance of artificial intelligence (AI) and large language model (LLM) applications used to ...

Vista Equity Partners Management

$215K - $260K/yr

Design abstraction layers and reusable infrastructure components that preserve vendor independence across large language model (LLM) providers, orchestration frameworks, and cloud environments.

Northbay Recruiter

Sr. Financial Analyst

Salem, OR

$110K - $130K/yr

Experience utilizing AI or large language model (LLM) tools to support financial analysis, reporting, or workflow automation * Experience evaluating capital investment opportunities or large-scale ...

Smarsh

OR

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the development of state-of-the-art natural language processing (NLP) and large language model (LLM ...

HealthEdge

Experience integrating large language model (LLM) APIs - including Anthropic Claude, OpenAI or similar - into data workflows, automated summarization pipelines or insight generation applications.

Career Opportunities | (ISC)²

This role sits at the intersection of offensive security, application security, and data science - evaluating AI/ML pipelines, large language model (LLM) integrations, and AI-powered products for ...

(ISC)2

This role sits at the intersection of offensive security, application security, and data science - evaluating AI/ML pipelines, large language model (LLM) integrations, and AI-powered products for ...

Intel

Senior AI / Data Science Engineer

Hillsboro, OR

$115K - $156K/yr

Develop and deploy Large Language Model (LLM) and Generative AI applications that improve engineering productivity, accelerate troubleshooting, and enhance knowledge discovery. * Analyze large-scale ...

New

Vectara

Machine Learning (ML) Engineer

OR · On-site +1

... LLM trained for quality , and advanced Hallucination Mitigation . We are the developers of the ... Language Models (LLMs) and Multimodal Large Language Model (MMLLMs). * Improve the quality of ...

BetterHelp

OR

This role will focus on Natural Language Processing (NLP), Large Language Models (LLMs), evaluation ... Improve latency, scalability, and operational efficiency of LLM-powered applications. * Partner ...

WEKA

OR

... Large Language Model (LLM) serving. The ideal candidate combines deep technical expertise in inference and scale with the leadership maturity to mentor, motivate, and develop engineers in the ...

Relativity

Software Engineer

Portland, OR · On-site

Experience working with large language model (LLM) APIs or generative AI systems * Experience designing and building scalable systems in Azure or other cloud platforms * Experience with Kubernetes ...

Vectara

OR · On-site

$122K - $161K/yr

... LLM trained for quality, and advanced Hallucination Mitigation . We are the developers of the ... Language Models (LLMs) and Multimodal Large Language Model (MMLLMs). * Improve the quality of ...

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Large Language Model Llm information

What are some common challenges faced by Large Language Model (LLM) Engineers in their day-to-day work?

LLM Engineers often encounter challenges related to scaling models efficiently, optimizing performance on large and complex datasets, and ensuring the responsible use of AI technologies. Balancing the trade-offs between model accuracy, speed, and ethical considerations can be demanding, especially as real-world applications often require rapid iterations and rigorous testing. Additionally, staying updated with the latest research advancements and integrating new methods into production systems is an ongoing responsibility. Many engineers tackle these challenges by working closely with data scientists, researchers, and product teams in collaborative, agile environments.

What is a Large Language Model (LLM) job?

A Large Language Model (LLM) job typically involves working with advanced AI models designed to understand and generate human-like text. Roles in this field may include research, data engineering, model fine-tuning, prompt engineering, or application development. Professionals in LLM jobs often work with machine learning algorithms, natural language processing (NLP), and large-scale datasets to enhance AI capabilities. These roles are common in AI-driven industries, including tech companies, research institutions, and startups. Strong programming skills, knowledge of deep learning frameworks, and expertise in NLP are often required.

Which 3 jobs will survive AI?

Large Language Model (LLM) specialists, healthcare professionals, and skilled tradespeople are likely to continue thriving as AI automates routine tasks. These roles require complex decision-making, emotional intelligence, or manual skills that are difficult for AI to replicate fully. Continuous learning and adaptability remain important for job security in these fields.

What jobs can I do with LLM?

Large Language Models (LLMs) are used in roles such as AI research scientist, NLP engineer, data scientist, and machine learning engineer. These jobs involve developing, fine-tuning, and deploying LLMs, often requiring skills in programming, data analysis, and understanding of AI frameworks like TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive in the Large Language Model Llm position, and why are they important?

Excelling in the role of a Large Language Model (LLM) Engineer requires strong expertise in natural language processing, machine learning, and computer programming, often supported by an advanced degree in computer science or a related field. Familiarity with industry-standard frameworks like PyTorch or TensorFlow, as well as experience with cloud computing platforms and large-scale data management, is highly valued. Communication, creativity, and problem-solving are essential soft skills to effectively collaborate with cross-functional teams and innovate solutions. These skills ensure the development, deployment, and refinement of powerful language models that can address diverse business needs and technical challenges.

What jobs pay 500,000 a year?

High-paying jobs that can reach or exceed $500,000 annually include executive roles such as CEOs, CFOs, and other C-suite positions, as well as specialized professions like top-tier surgeons, investment bankers, and successful entrepreneurs. These roles typically require extensive experience, advanced skills, and often involve leadership, risk management, or highly specialized expertise.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as senior machine learning engineers, AI research directors, or chief AI officers, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms. Compensation at this level reflects significant expertise and responsibility in developing and deploying AI systems.
What are the most commonly searched types of Large Language Model Llm jobs in Oregon? The most popular types of Large Language Model Llm jobs in Oregon are:
What are popular job titles related to Large Language Model Llm jobs in Oregon? For Large Language Model Llm jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Large Language Model Llm jobs in Oregon look for? The top searched job categories for Large Language Model Llm jobs in Oregon are:
Large Language Model Llm jobs near you
Infographic showing various Large Language Model Llm job openings in Oregon as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 22% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution.

AI Platform and Harness Engineer

LTS

OR

Other

Posted 4 days ago

Job description

LTS is seeking an AI Platform and Harness Engineer to develop and maintain the infrastructure, tooling, and evaluation frameworks that power enterprise AI solutions. This role is responsible for building the AI platform and reusable "AI harnesses" that enable Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and Generative AI applications to be securely developed, tested, evaluated, monitored, and deployed at scale.

The ideal candidate has experience with AI platforms, LLMOps, software engineering, cloud-native technologies, and backend systems, along with a passion for building reliable, observable, and production-ready AI solutions. You will work closely with AI architects, software engineers, data scientists, and product teams to ensure AI solutions are scalable, secure, cost-effective, and continuously improving.

What You'll Do:

  • Design, build, and maintain enterprise AI platform capabilities supporting Large Language Models (LLMs), AI agents, RAG, and Generative AI applications.
  • Develop reusable AI harnesses to automate testing, prompt evaluation, model benchmarking, regression testing, and quality assurance.
  • Build AI evaluation frameworks to measure model accuracy, retrieval quality, hallucination detection, latency, throughput, cost, and overall application performance.
  • Implement observability and monitoring solutions for AI applications, including telemetry, tracing, logging, dashboards, and operational metrics.
  • Build and maintain LLMOps pipelines supporting model deployment, versioning, evaluation, experimentation, rollback, and continuous improvement.
  • Design automated workflows for prompt testing, retrieval evaluation, AI system validation, and performance benchmarking.
  • Develop internal tools for prompt management, model experimentation, AI performance optimization, and developer productivity.
  • Build scalable backend services and APIs supporting AI platforms and enterprise AI integrations.
  • Collaborate with AI architects and engineering teams to integrate LLMs, RAG pipelines, vector databases, and agentic AI solutions into enterprise applications.
  • Support deployment of AI services across AWS, Azure, or Google Cloud using containerized and cloud-native architectures.
  • Implement CI/CD pipelines and infrastructure automation supporting enterprise AI development and deployment.
  • Apply security, governance, and Responsible AI controls throughout the AI development lifecycle.
  • Evaluate emerging AI frameworks, LLMOps technologies, evaluation methodologies, and automation tools to improve engineering productivity.
  • Troubleshoot production AI issues and continuously improve platform reliability, scalability, security, and user experience.
  • Document engineering standards, AI platform architecture, evaluation methodologies, and operational best practices.

What We're Looking For:

  • Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical field.
  • 5+ years of experience in software engineering, platform engineering, backend engineering, DevOps, cloud engineering, or infrastructure engineering.
  • 2+ years building or supporting Generative AI, Large Language Model (LLM), or machine learning applications.
  • Strong programming experience in Python.
  • Experience developing APIs, backend services, and distributed systems.
  • Experience with cloud platforms including AWS, Azure, or Google Cloud Platform.
  • Experience deploying applications using Docker and Kubernetes.
  • Experience working with Git, CI/CD pipelines, Infrastructure as Code (IaC), and infrastructure automation.
  • Strong understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Prompt engineering, Embeddings, Vector databases, AI agents and agentic workflows
  • Familiarity with AI evaluation techniques, automated testing, benchmarking, regression testing, and model validation.
  • Experience building scalable, production-grade software platforms.
  • Strong problem-solving, debugging, and performance optimization skills.

Nice to Have:

  • Experience with AI orchestration frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or AutoGen.
  • Experience implementing LLMOps or MLOps platforms and deployment pipelines.
  • Experience with AI observability tools such as LangSmith, OpenTelemetry, Prometheus, Grafana, Evidently AI, or Arize AI.
  • Experience with vector databases including Pinecone, Qdrant, Weaviate, Azure AI Search, or pgvector.
  • Experience with OpenAI, Azure OpenAI, AWS Bedrock, Anthropic Claude, Google Vertex AI, or similar enterprise AI platforms.
  • Experience implementing Responsible AI, AI governance, model security, and AI safety best practices.
  • Experience supporting Federal Government or other regulated environments.
  • Experience evaluating AI systems for quality, reliability, accuracy, explainability, latency, and cost optimization.
  • Familiarity with healthcare, enterprise modernization, or mission-critical systems.

What's In It for You?

  • The Opportunity to support high-visibility federal missions
  • A culture that values innovation, growth, and collaboration
  • 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