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Llm Engineer Remote Jobs in Portland, OR (NOW HIRING)

Hitachi

Data Scientist I or II (MAD-BS-OR)

Hillsboro, OR · On-site +1

$121K - $167K/yr

Hybrid (+50% Remote) - Remote 60% / Onsite 40% EXPECTED PAY RANGE: Data Scientist I: $99,608 - $136 ... LLM systems, including: * Tool-calling architecture * RAG pipelines * Prompt engineering and ...

Honor

Staff Data Scientist

Portland, OR · Remote

Champion the use of LLM-driven workflows across the company. Partner with Engineering to design ... We use national average to determine pay as we are a remote first company. Individual pay is based ...

Varonis

Technical Account Manager

Portland, OR · Remote

Help Account Managers and Sales Engineers identify renewal risk and collaborate to remediate and ... Familiarity with AI/LLM data risks and governance considerations (preferred) * Outstanding customer ...

Aprio

Senior AI Product Associate, IT

Portland, OR · On-site +1

$104K - $160K/yr

Work closely with Engineering, tax accountants, and other cross functions to deliver and improve ... Exposure to agentic AI workflows, RAG architectures, or LLM integration patterns. * Familiarity ...

All JobsLlm Engineer JobsLlm Engineer Remote JobsLlm Engineer Remote Jobs in Portland, OR

Llm Engineer Remote information

See Portland, OR salary details

$27

$56

$81

How much do llm engineer remote jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for llm engineer remote in Portland, OR is $56.88, according to ZipRecruiter salary data. Most workers in this role earn between $45.87 and $66.01 per hour, depending on experience, location, and employer.

What is an LLM engineer?

An LLM Engineer, or Large Language Model Engineer, is a professional who designs, develops, and optimizes applications using advanced AI language models such as GPT-4 or similar technologies. Working remotely, they are responsible for integrating these models into products, fine-tuning them for specific tasks, and ensuring their performance and reliability. LLM Engineers often collaborate with data scientists, software developers, and product managers to create solutions in areas like chatbots, content generation, and natural language processing. Their work requires a strong background in machine learning, programming, and cloud computing.

What are the key skills and qualifications needed to thrive as an LLM engineer in a remote role?

To thrive as an LLM Engineer remotely, you need strong expertise in machine learning, natural language processing, and proficiency with programming languages such as Python, often supported by a degree in computer science or related fields. Familiarity with frameworks like PyTorch or TensorFlow, experience with cloud platforms (AWS, GCP), and knowledge of large language model architectures are commonly required. Excellent problem-solving skills, self-motivation, and effective remote communication make candidates stand out. These capabilities are crucial for developing, deploying, and maintaining advanced language models while collaborating efficiently with distributed teams.

What are some typical challenges faced by remote LLM engineers when collaborating with cross-functional teams?

Remote LLM Engineers often work closely with data scientists, product managers, and software engineers to develop and deploy large language models. One common challenge is ensuring clear and consistent communication across different time zones and technical backgrounds, which can sometimes lead to misaligned project goals or delays. To overcome this, many teams rely on detailed documentation, regular virtual meetings, and collaborative project management tools. Building strong relationships remotely and proactively sharing updates can make collaboration smoother and more productive.

What is the difference between Llm Engineer Remote vs Data Scientist Remote?

AspectLlm Engineer RemoteData Scientist Remote
Required CredentialsAdvanced degree in CS, ML, or related field; experience with NLP and deep learningDegree in CS, Statistics, or related; experience with data analysis and machine learning
Work EnvironmentCollaborative teams, research-focused, often in tech or AI companiesData analysis, model development, reporting; across various industries
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, tech, e-commerce, and more

While both roles involve machine learning, Llm Engineers focus on developing large language models and NLP applications, often requiring deep expertise in AI research. Data Scientists analyze data to inform business decisions, with broader industry applications. The roles share some credentials but differ in focus and daily tasks.

What are the most commonly searched types of Llm Engineer jobs in Portland, OR?

The most popular types of Llm Engineer jobs in Portland, OR are:

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For Llm Engineer Remote jobs in Portland, OR, the most frequently searched job titles are:

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Llm Engineer Remote jobs near you

Senior Development Operations Engineer (DevOps) (Remote)

Rapta, Inc

Lake Oswego, OR • Remote

$70K - $90K/yr

Full-time

Re-posted 5 hours 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.