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Llm Developer Jobs in Portland, OR (NOW HIRING)

Nike

Senior Software Engineer

Beaverton, OR · On-site

$127K - $168K/yr

Industrial Robot APIs, ML models, LLM engineering, Computer Vision and Robotics Requirements: * Bachelor's degree or equivalent combination of education, experience, or training * Have strong ...

Deloitte

Forward Deployed Engineer- AWS

Portland, OR · On-site

Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event ... Generative AI Developer (Professional - AIP-C01), AWS Certified Machine Learning Engineer ...

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All JobsLlm Developer JobsLlm Developer Jobs in Portland, OR

Llm Developer information

See Portland, OR salary details

$27

$53

$84

How much do llm developer jobs pay per hour?

As of Aug 5, 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.
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Llm Developer jobs near you
Infographic showing various Llm Developer job openings in Portland, OR as of July 2026, with employment types broken down into 81% Full Time, 6% Part Time, 1% Temporary, and 12% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $110,657 per year, or $53.2 per hour.

Senior Development Operations Engineer (DevOps)

Rapta, Inc

Lake Oswego, OR • Remote

$133K - $171K/yr

Full-time

Posted 13 days ago

Job description

Senior Development Operations Engineer (DevOps)

Full-Time Position | Remote (US)

About Us

Rapta is revolutionizing American manufacturing with our AI-powered vision systems. Our cutting-edge software platform expands manufacturing capacity 30% by reducing errors 90%+ and automating quality control and inspection processes. We're looking for a talented senior development operations engineer to join our mission and make a real impact.

Position Overview

We're seeking an experienced senior development operations (DevOps) engineer to own the build, test, and deployment pipeline for our distributed computer vision platform running at edge sites across customer manufacturing floors. This is a full-time remote position working directly with our engineering team to harden our release process, drive deployment automation, and pioneer LLM-driven test generation and validation at Rapta.

What You'll Do

  • Own and evolve the end-to-end release pipeline - branching strategy, build orchestration, artifact promotion, and rollback - across our Bazel monorepo and Python deployable units
  • Design and maintain Ansible-driven fleet automation for heterogeneous Linux edge nodes (Ubuntu LTS, NVIDIA driver stacks, Docker with NVIDIA runtime)
  • Manage all update tooling, currently written in Golang
  • Build LLM-powered automated testing systems: test generation from specs, flake triage, log/failure analysis, regression diffing, and release-note synthesis from commit and ticket history
  • Harden CI/CD for offline and bandwidth-constrained deployment targets (airgap wheel distribution, signed artifacts, deterministic builds)
  • Drive observability for releases - deployment telemetry, version drift detection, and post-deploy health validation across the fleet
  • Mentor engineers on release hygiene, reproducible builds, and infrastructure-as-code practices

What We're Looking For

  • 10+ years of professional experience in release engineering, DevOps, or SRE roles shipping production Linux systems
  • Deep curiosity for software, infrastructure, and applied AI - particularly using LLMs as production engineering tools, not just chat assistants
  • Expert-level Python (3.8+) with a strong grasp of packaging, dependency resolution, and PEP 440 versioning discipline
  • Demonstrated ownership of Linux fleets at scale - kernel, systemd, networking, package management
  • Excellence in technical communication, runbook authorship, and post-incident documentation
  • Strong systems thinking - comfortable reasoning about failure modes across hardware, OS, container, and application layers

Required Technical Skills

  • Expert proficiency with Ansible (roles, dynamic inventory, idempotent design); working knowledge of Terraform
  • Expert proficiency with Docker, including creation and lifecycle management of containers, image hardening, registry management and installing & configuring the NVIDIA container runtime
  • Production experience with Linux administration: systemd, networking (VLANs, DHCP, DNS), kernel/driver management (especially NVIDIA/DKMS), package and APT internals
  • Strong Python skills focused on tooling, automation, packaging (wheels, pip, private indexes), and subprocess/CI integration
  • Proficiency with Git workflows, branching strategies, and modern CI/CD systems (GitHub Actions, GitLab CI, or equivalent)
  • Experience designing and operating automated test infrastructure - unit, integration, hardware-in-the-loop, and end-to-end
  • Practical experience using LLMs (Anthropic, OpenAI, or local) as part of engineering workflows - test generation, code review augmentation, log analysis, or agentic tooling

Nice to Have

  • Bazel or similar monorepo build systems
  • Edge or embedded deployment experience
  • Tailscale, WireGuard, or zero-trust networking in production
  • gRPC/protobuf service ecosystems
  • Vault, PKI, or secrets management at fleet scale
  • Background in regulated or compliance-driven environments (CMMC, ISO 27001, SOC 2)

Why Join Us?

  • Work on cutting-edge AI infrastructure with real-world impact on American manufacturing
  • Build the release engineering foundation for a late-seed company actively scaling
  • Direct collaboration with the CTO and engineering leadership
  • Remote-first culture with flexible hours
  • Meaningful equity in a company solving hard problems

Location Requirements

  • Remote (US)

Equal Opportunity

Rapta is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class.

How to Apply No recruiters or agencies - we only accept applications directly from applicants.

Employment Type: FULL_TIME

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