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Llm Developer Jobs in Carson, WA (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 ... DevOps, or SRE roles shipping production Linux systems * Deep curiosity for software ...

Deloitte

AI Engineer Consultant

Portland, OR · Hybrid

Build and operationalize LLM-enabled capabilities (e.g., copilots, HR knowledge assistants ... DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes ...

Deloitte

Senior Forward Deployed Engineer- AWS

Portland, OR · On-site

$110K - $152K/yr

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

Deloitte

Lead Forward Deployed Engineer - AWS

Portland, OR · On-site

$108K - $143K/yr

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

Pwc

AI Engineer

Portland, OR · On-site

$50K - $112K/yr

... engineering ... LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation ...

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Llm Developer information

See Carson, WA salary details

$24

$48

$77

How much do llm developer jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for llm developer in Carson, WA is $48.82, according to ZipRecruiter salary data. Most workers in this role earn between $38.37 and $59.18 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 large language model developer?

A large language model developer designs, trains, and fine-tunes AI models that understand and generate human language. They work with machine learning frameworks, manage large datasets, and optimize models for accuracy and efficiency, often requiring knowledge of programming, deep learning, and natural language processing techniques.

What cities near Carson, WA are hiring for Llm Developer jobs?

Cities near Carson, WA with the most Llm Developer job openings:

Llm Developer jobs near you
Infographic showing various Llm Developer job openings in Carson, WA as of June 2026, with employment types broken down into 83% Full Time, 11% Part Time, and 6% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $101,548 per year, or $48.8 per hour.

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 5 days ago

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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