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Llm Developer Jobs in Portland, OR (NOW HIRING)

Cloud Platform Specialist

Portland, OR · On-site +1

$59.75 - $81.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This includes everything from engineer-built Python tools to AI-enabled workloads. The Cloud ... Reference established open standards including the OWASP Top 10 for LLM Applications when ...

AI Infrastructure Engineer

Hillsboro, OR

$170K - $315K/yr

  • Medical

  • Retirement

  • PTO

We are looking for a performance-obsessed AI Infrastructure Engineer to push LLM inference to its absolute limits on Intel's next-generation GPU architectures. In this role, you will dive deep into ...

Implement LLM-based systems with: * Tool-calling frameworks * Retrieval-Augmented Generation (RAG) * Structured outputs and validation pipelines * Partner with cross-functional teams (Data Engineers ...

... LLM post-training -- SFT, RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ...

... LLM post-training -- SFT, RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ...

... LLM post-training -- SFT, RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ...

Sr. AI Software Engineer - Agent Harness

Hillsboro, OR

$133K - $175K/yr

  • Medical

  • Retirement

  • PTO

Built developer tooling, CLIs, or IDE-adjacent products * Familiarity with sandboxing, containerization, and safe code execution * Contributions to open-source agent / LLM tooling * Experience with ...

AI Engineering Manager

Camas, WA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You bring deep hands-on experience with modern AI and LLM technologies, a strong foundation in software engineering, and experience leading teams to ship meaningful, real-world solutions. The Day-to ...

AI Engineering Manager

Vancouver, WA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You bring deep hands-on experience with modern AI and LLM technologies, a strong foundation in software engineering, and experience leading teams to ship meaningful, real-world solutions. The Day-to ...

AI Engineering Manager

Camas, WA · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You bring deep hands-on experience with modern AI and LLM technologies, a strong foundation in software engineering, and experience leading teams to ship meaningful, real-world solutions. The Day-to ...

AI Engineering Manager

Gresham, OR · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You bring deep hands-on experience with modern AI and LLM technologies, a strong foundation in software engineering, and experience leading teams to ship meaningful, real-world solutions. The Day-to ...

AI Engineering Manager

Camas, WA · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You bring deep hands-on experience with modern AI and LLM technologies, a strong foundation in software engineering, and experience leading teams to ship meaningful, real-world solutions. The Day-to ...

AI Engineering Manager

Gresham, OR · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You bring deep hands-on experience with modern AI and LLM technologies, a strong foundation in software engineering, and experience leading teams to ship meaningful, real-world solutions. The Day-to ...

Showing results 41-60

Llm Developer information

See Portland, OR salary details

$27

$53

$84

How much do llm developer jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for llm developer in Portland, OR is $53.20, according to ZipRecruiter salary data. Most workers in this role earn between $41.83 and $64.52 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 job categories do people searching Llm Developer jobs in Portland, OR look for?

The top searched job categories for Llm Developer jobs in Portland, OR are:

What cities near Portland, OR are hiring for Llm Developer jobs?

Cities near Portland, OR with the most Llm Developer job openings:

Infographic showing various Llm Developer job openings in Portland, OR 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 $110,657 per year, or $53.2 per hour.

Staff Software Engineer, AI Platform (US - Remote or Calgary)

Syndio

Portland, OR • Remote

Full-time

Posted 14 days ago


Job description

Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees?

Syndio is the leading pay governance and compensation intelligence platform. We help organizations make better pay decisions at every stage of the compensation lifecycle, from leveling and offers to promotions and merit. Our platform gives HR, compensation, and finance leaders the data and decision support they need to govern pay fairly, compliantly, and with confidence. We partner with many of the world's most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance and analyzing pay for over 10 million employees across the world.

Join us in our mission to help companies make smarter pay decisions they can trust!

About the Role:

Syndi is Syndio's AI platform — one shared agent experience (in-product chat, Slack, Teams) serving our product lines, built on syndi-api: an agent runtime owning orchestration, tool calling, memory, RAG, evals, and observability, live in production today. The platform is young (v1 shipped this quarter), moving fast, and designed around a clear operating model: product teams contribute domain content through APIs, evals, and knowledge — the platform owns the experience.

We're hiring a staff-level engineer to take ownership of major runtime surfaces and grow into a technical owner of the platform. This is a high-autonomy role on a small team (3–4 engineers): you'll design, ship, and operate systems end-to-end, and you'll work directly with product-team owners through the platform's contribution seams.

What You'll Work On
  • Core runtime surfaces of syndi-api: the agent loop, tool execution and registry, memory, context management (Python, Postgres, Claude on Vertex, GCP).
  • The eval system — offline gates and online detector/judge evals written onto production traces — and its growth as product teams adopt it.
  • Production operation: observability (Datadog LLM Obs), incident response, the reliability of an agent surface real customers use.
  • The platform's contribution seams: reviewing product teams' tool wrappers and evals, evolving the GET /tools registry and drift-detection contract.
  • Clarifying, designing, and implementing compliance and legal requirements for Syndi.
What We're Looking For
  • 5+ years building production backend systems; deep comfort with Python, relational stores, and cloud infra (we're on GCP/Kubernetes).
  • You've built LLM-powered systems in production — an agent loop, tool-calling integration, RAG, or eval infrastructure — and have opinions from the scar tissue.
  • You design for operability: legal compliance, tracing, evals, and kill switches are part of the feature, not afterthoughts.
  • You can own a technical domain with light supervision: propose direction in writing with clear API specs, take review, ship, and carry the pager for what you shipped.
  • Strong written communication — our operating model runs on design docs and PR review across team boundaries.
  • Nice to have: experience being the platform side of a platform/product relationship; SSE/streaming systems; compliance-adjacent engineering (data minimization, auditability); prior Staff scope.
Why you'll love it here: