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Professional Llm Developer Jobs in Oregon (NOW HIRING)

Fresh Consulting

Sr. DevOps Engineer

Portland, OR · On-site

$75 - $85/hr

Build LLM-powered automated testing systems: test generation from specs, flake triage, log/failure ... professional experience in release engineering, DevOps, or SRE roles shipping production Linux ...

New

Fresh Consulting

Sr. DevOps Engineer

Portland, OR · On-site

$75 - $85/hr

Build LLM-powered automated testing systems: test generation from specs, flake triage, log/failure ... professional experience in release engineering, DevOps, or SRE roles shipping production Linux ...

New

Parachute Health

Staff Software Engineer, Applied AI

OR · On-site +1

$200K - $260K/yr

Design and build agentic LLM pipelines that power AI features across the product. * Build full ... Requirements * 5+ years of professional software engineering experience * Experience working in a ...

Deloitte

AI Engineer Consultant

Portland, OR · Hybrid

Build and operationalize LLM-enabled capabilities (e.g., copilots, HR knowledge assistants ... Strong interpersonal skills and professional demeanor * Ability to meet deadlines * Ability to ...

Five9

WEM AQM Prompt Engineer

OR · On-site +1

Stay current with LLM developments, prompt engineering research, and the evolving Five9 AQM product ... Experience working in a customer-facing or professional services environment. BA/BS or equivalent ...

Deloitte

Forward Deployed Engineer- AWS

Portland, OR · On-site

... LLM-powered solutions in client or production environments * 1+ years of experience with AWS AI ... Generative AI Developer (Professional - AIP-C01), AWS Certified Machine Learning Engineer ...

Smarsh

Senior Software Engineer, Python + AI Platform

OR · On-site +1

$121K - $163K/yr

Productionize LLM integrations. Implement systems around Bedrock usage, quotas, retries, failover ... What will you bring? * Strong Python backend engineering. 7+ years professional software ...

Comet

DevRel

OR · On-site +1

$180/hr

... AI/developer community (YouTube, X, newsletter, podcast) * Experience with LLM evaluation ... Opportunities for professional growth and development. * A collaborative and innovative work ...

Hatch IT

Senior AI Platforms Engineer

OR · On-site +1

$104K - $143K/yr

Architect, deliver, and optimize production-grade LLM services, agent workflows, orchestration ... An advanced degree is preferred. * 8-10+ years of professional experience in Software Engineering ...

SentinelOne

Staff AI Platform Engineer

OR · On-site +1

Develop and extend production services in Python (FastAPI) and pydantic.ai for LLM-powered ... professional software engineering experience; with experience building or operating AI and ML ...

SentinelOne

Senior Staff AI Platform Engineer

OR · On-site +1

$104K - $143K/yr

Develop and extend production services in Python (FastAPI) and pydantic.ai for LLM-powered ... professional software engineering experience; with experience building or operating AI and ML ...

Obsidian Security

Head of Customer Support

OR · On-site +1

A strong systems and engineering orientation. You are comfortable with APIs, integrations, data pipelines, LLM-based tooling, and support platform configuration. * Experience supporting a technical ...

Posit

Senior Manager, Solutions Engineering

OR · On-site +1

We're looking for someone who has seen what "good" looks like in a Professional Services ... You actively use AI tools (e.g., coding assistants, LLM-powered workflows, automation) in your own ...

BOLD

Senior Prompt Designer II

OR · On-site +1

$101K - $108K/yr

What you'll need * 8+ years of professional experience with AI/ML systems, language technologies, or software product engineering. * 4-5 years in prompt design or LLM product development, with a ...

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All JobsProfessional Llm Developer JobsProfessional Llm Developer Jobs in Oregon

Professional Llm Developer information

What is a professional LLM developer?

Professional LLM Developers are software engineers or specialists who design, build, and optimize applications and systems that leverage large language models (LLMs) like GPT-4, Claude, or similar AI models. Their work often involves integrating LLMs into products, fine-tuning models for specific tasks, ensuring safe and ethical AI use, and improving performance. They may also create tools and frameworks that facilitate the deployment and scaling of LLM-powered applications. Their expertise combines software development, machine learning, and natural language processing.

What are the key skills and qualifications needed to thrive as a professional LLM developer?

To thrive as a Professional LLM Developer, you need expertise in machine learning, natural language processing, and strong programming skills in languages like Python, often supported by a degree in computer science or related fields. Familiarity with deep learning frameworks (such as PyTorch or TensorFlow), experience with large language model architectures, and knowledge of cloud platforms are typically required, along with certifications like TensorFlow Developer or AWS Certified Machine Learning. Strong problem-solving abilities, teamwork, and effective communication distinguish top performers in this role. These skills ensure the development, fine-tuning, and deployment of robust LLM solutions that meet business and technical needs.

What are some common challenges faced by professional LLM developers when deploying large language models in production environments?

Professional LLM Developers often encounter challenges such as optimizing model performance to balance accuracy with computational efficiency, managing latency for real-time applications, and ensuring data privacy and security. Additionally, integrating LLMs with existing systems and maintaining model versioning can be complex. Collaboration with cross-functional teams, such as data engineers and product managers, is essential to address these challenges and ensure the successful deployment and ongoing maintenance of LLM-driven solutions.

What is the difference between Professional Llm Developer vs Machine Learning Engineer?

AspectProfessional Llm DeveloperMachine Learning Engineer
CredentialsTypically requires advanced degrees in AI, NLP, or related fields; certifications in AI/MLOften holds degrees in computer science, data science, or engineering; certifications in ML frameworks
Work EnvironmentFocuses on developing and fine-tuning large language models, often in research or specialized AI teamsDesigns, builds, and deploys ML models across various applications, in industry or tech companies
Industry UsagePrimarily in AI research, NLP, and companies developing LLM-based productsUsed across tech, finance, healthcare, and other sectors for predictive modeling and automation

While both roles involve AI and machine learning, a Professional Llm Developer specializes in large language models and NLP, whereas a Machine Learning Engineer works on a broader range of ML applications and models across industries.

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 are popular job titles related to Professional Llm Developer jobs in Oregon?

For Professional Llm Developer jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Professional Llm Developer jobs in Oregon look for?

The top searched job categories for Professional Llm Developer jobs in Oregon are:

What cities in Oregon are hiring for Professional Llm Developer jobs?

Cities in Oregon with the most Professional Llm Developer job openings:

Professional Llm Developer jobs near you

Sr. DevOps Engineer

Portland, OR • On-site

Fresh Consulting
Business Management Consulting • 201 - 500 employees
Learn more about Fresh Consultingexternal

$75 - $85/hr

Contractor

Posted 3 days ago

New

Job description

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 position working directly with our engineering team to harden our release process, drive deployment automation, and pioneer LLM-driven test generation and validation.
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)
Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Range $75/hr - $85/hr.
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