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Llm Developer Jobs in Oregon (NOW HIRING)

Senior Machine Learning Engineer

OR ยท On-site +1

$205K - $270K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This track requires strong pre-LLM ML foundations, deep expertise in LLMs and modern prompting ... Mentor engineers, contribute to technical strategy, and help shape the roadmap for Cresta's AI ...

DevRel

OR ยท On-site +1

$180/hr

An existing following or presence in the AI/developer community (YouTube, X, newsletter, podcast) * Experience with LLM evaluation frameworks, tracing tools, or observability platforms * Open source ...

OR ยท On-site

$122K - $161K/yr

Designing and implementing extensible abstractions for LLM serving engines * Building efficient just-in-time domain specific compilers and runtimes * Collaborating closely with other engineers at ...

OR ยท On-site

$104K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Architect, deliver, and optimize production-grade LLM services, agent workflows, orchestration ... Set the technical direction and engineering standards for high-performance, scalable backend ...

OR ยท On-site

... developer tools and have a clear sense of what good DX looks like. * You do well with ambiguity and ownership. What you bring * 5+ years of software engineering experience, including 1-2 years on LLM ...

OR ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Staff AI-First Information Security Engineer, you own the intersection of AI adoption and ... Conduct threat modelling on agentic and LLM-based systems, accounting for novel attack surfaces ...

OR ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Staff AI-First Information Security Engineer, you own the intersection of AI adoption and ... Conduct threat modelling on agentic and LLM-based systems, accounting for novel attack surfaces ...

Application Developer

Lake Oswego, OR ยท Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Application Developer Are you an experienced developer who enjoys building real solutions and ... Experience with RAG LLM development would be nice to have. * Ability to break down complex problems ...

OR ยท On-site

$107K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Experience operating LLM/AI-assisted developer tooling at scale (Claude Code, Copilot, or similar) inside an enterprise is preferred. * Familiarity with Okta/OIDC and enterprise auth patterns for ...

Senior Support Engineer

OR ยท On-site +1

Senior Support Engineer Team: Global Services & Delivery Location: [Remote / Hybrid - specify ... Demonstrated experience building or tuning automation or agentic and LLM-based support tooling, or ...

... machine learning and LLM-powered models that drive meaningful business impact across product ... You will work closely with Product, Data, Engineering, and business partners to identify high-value ...

Showing results 21-40

Llm Developer information

See Oregon salary details

$26

$53

$84

How much do llm developer jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for llm developer in Oregon is $53.04, according to ZipRecruiter salary data. Most workers in this role earn between $41.68 and $64.28 per hour, depending on experience, location, and employer.

What does an LLM Developer do?

An LLM Developer designs, fine-tunes, and implements large language models (LLMs) for various applications, such as chatbots, content generation, and AI-driven tools. They work with machine learning frameworks, optimize model performance, and ensure efficient deployment. This role requires expertise in natural language processing (NLP), deep learning, and programming languages like Python.

What are the key skills and qualifications needed to thrive as an LLM Developer?

To excel as an LLM Developer, you need strong expertise in natural language processing (NLP), deep learning frameworks, and programming languages such as Python, typically supported by a degree in computer science or a related field. Familiarity with machine learning libraries (like TensorFlow or PyTorch), cloud computing platforms, and experience with prompt engineering or fine-tuning large language models is crucial. Excellent problem-solving abilities, collaboration, and effective communication skills help you design solutions and work efficiently within multidisciplinary teams. These qualifications are essential for successfully building, deploying, and optimizing large language models that drive impactful AI applications.

What is the role of a Llm developer?

A Large Language Model (LLM) developer designs, trains, and fine-tunes large-scale AI models for natural language processing tasks. They work with machine learning frameworks, handle large datasets, and optimize models for performance and accuracy, often requiring knowledge of programming languages like Python and tools such as TensorFlow or PyTorch.
What are the most commonly searched types of Llm Developer jobs in Oregon? The most popular types of Llm Developer jobs in Oregon are:
What cities in Oregon are hiring for Llm Developer jobs? Cities in Oregon with the most Llm Developer job openings:
Infographic showing various Llm Developer job openings in Oregon as of August 2026, with employment types broken down into 79% Full Time, 3% Part Time, and 18% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $110,321 per year, or $53 per hour.

Senior Machine Learning Engineer

Cresta

OR โ€ข On-site, Remote

$205K - $270K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Job description

About the role:

Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team placement is determined based on experience, strengths, and business needs.

Current focus areas include:

  • Agentic Assist: Lead and build next-generation agentic AI systems that augment contact center agents in real time. This track requires strong pre-LLM ML foundations, deep expertise in LLMs and modern prompting techniques, a rapid prototyping mindset, and a proven ability to translate cutting-edge research into scalable, production-grade systems.
  • Agent & System Quality: Design evaluation frameworks and improve the reliability, robustness, and performance of LLM-powered agents. This includes diagnosing and mitigating failure modes such as hallucinations, retrieval errors, tool misuse, context drift, prompt brittleness, and multi-step reasoning breakdowns, while defining measurable quality metrics (e.g., accuracy, faithfulness, task completion, latency, and cost) for complex, non-deterministic systems.
  • Insights: Architect and scale LLM and retrieval-augmented generation pipelines that ground models in enterprise data. This track focuses on building high-performance ML systems that process complex data, extract structured insights, and deliver real-time, actionable intelligence at scale.

Responsibilities:

  • Lead the design and development of Cresta's next-generation AI Agents and Agentic Assist systems, defining system architecture and core modeling approaches.
  • Architect intelligent, multi-step agent workflows that combine real-time guidance, knowledge retrieval, reasoning, summarization, and automated actions into cohesive production systems.
  • Design, deploy, and optimize LLM-powered systems, including Retrieval-Augmented Generation (RAG) pipelines, multi-agent orchestration, and domain-adapted models.
  • Improve reasoning, planning, and tool-use capabilities in real-world AI applications.
  • Develop evaluation strategies for complex, non-deterministic systems, including offline benchmarking, online experimentation, and LLM-as-a-judge methodologies.
  • Diagnose and mitigate real-world failure modes such as hallucinations, retrieval errors, tool misuse, prompt brittleness, and multi-step reasoning breakdowns.
  • Define and measure quality metrics (e.g., accuracy, faithfulness, task completion, latency, cost, robustness) to improve system reliability and performance.
  • Optimize AI systems for scalability, latency, security, and cost efficiency in production environments.
  • Collaborate cross-functionally with product, frontend, and backend teams to integrate AI capabilities seamlessly into Cresta's platform.
  • Mentor engineers, contribute to technical strategy, and help shape the roadmap for Cresta's AI systems.

Qualifications We Value:

  • Bachelor's degree in Computer Science, Mathematics, or a related field; Master's or Ph.D. preferred.
  • 5-8+ years of industry experience building and deploying machine learning systems in production, including significant experience working with LLMs.
  • Strong expertise in NLP, Generative AI, transformer architectures, embeddings, and retrieval systems.
  • Proven experience designing and deploying Retrieval-Augmented Generation (RAG) systems in enterprise environments.
  • Experience building and evaluating complex agentic or multi-step LLM workflows.
  • Strong knowledge of modern ML frameworks and tools (e.g., PyTorch, TensorFlow, Hugging Face) and distributed/cloud-based infrastructure.
  • Demonstrated ability to optimize real-time ML systems for performance, scalability, and reliability.
  • Strong technical leadership skills, with the ability to influence cross-functional decisions and raise the engineering bar.

Perks & Benefits:

We offer a comprehensive and people-first benefits package to support you at work and in life:

  • Comprehensive medical, dental, and vision coverage with plans to fit you and your family
  • Flexible PTO to take the time you need, when you need it
  • Paid parental leave for all new parents welcoming a new child
  • Retirement savings plan to help you plan for the future
  • Remote work setup budget to help you create a productive home office
  • Monthly wellness and communication stipend to keep you connected and balanced
  • In-office meal program and commuter benefits provided for onsite employees

Compensation at Cresta:ย 

Cresta's approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table.

The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family.

Salary Range: $205,000-$270,000 + Offers Equity

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.ย  If you are uncertain whether you have been contacted by an official Cresta employee, reach out toย recruiting@cresta.aiย