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Remote Large Language Model Llm Jobs in Oregon (NOW HIRING)

Particle41

AI Engineer

OR · On-site +1

Experience building or fine-tuning Large Language Models (LLMs). * Experience deploying models into production: building REST APIs, microservices and monitoring. * Familiarity with Text-to-Speech and ...

Fixify

Senior Fullstack Engineer, Product Experience

OR · On-site +1

No doubt you'll come with lots of great ideas of how to evolve the product as you get to explore Fixify's exciting range of features, including large language models (LLMs). We're also big believers ...

Agility Robotics

Senior Manager, AI Innovation

Salem, OR · On-site +1

$268K - $364K/yr

... large language models (LLMs) applied to robotics. * Proven track record of managing scaling high ... This is a fully remote role with the option to work hybrid if a commutable distance from our Salem ...

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 ... large-scale datasets * Experience with Agentic AI / LLM systems, including: * Tool-calling ...

Nvidia

Senior DL Compiler Engineer -CUDA Tile

OR · On-site +1

$122K - $161K/yr

NVIDIA GPUs are at the center of the deep learning revolution and continue to enable breakthroughs in generative AI, large language models, recommendation systems, speech recognition, image ...

Nvidia

Deep Learning Compiler Engineer

OR · On-site +1

NVIDIA GPUs are at the center of the deep learning revolution and continue to enable breakthroughs in generative AI, large language models, recommendation systems, speech recognition, image ...

Grafana Labs

Staff AI Engineer | US | Remote

OR · On-site +1

This is a remote opportunity and we are looking for candidates from the U.S. The Opportunity ... LLM integrations, and backend services that connect AI models to internal and third-party data ...

Parachute Health

Staff Software Engineer, Applied AI

OR · On-site +1

$200K - $260K/yr

Prompt-engineer and iterate on LLM prompts and models. Evaluate and recommend improvements based on ... We are remote-first with a dedicated NYC office and reimbursement options for co-working spaces.

Netflix

Staff Systems Designer, Language

OR · On-site +1

$340K - $480K/yr

Build the plug-and-play extension model that allows decentralized business domains to safely apply ... Direct experience with LLM orchestration, prompt engineering, or AI-assisted writing workflows ...

Fuze Health

Applied Scientist - FuzeRx

OR · On-site +1

Your deep expertise in NLP, large language models, and machine learning systems will accelerate ... March 15, 2026 #LI-Remote Fuze Health is an Equal Opportunity Employer. All qualified applicants ...

Cresta

Staff Machine Learning Engineer

OR · On-site +1

Architect and scale LLM and retrieval-augmented generation pipelines that ground models in ... Remote work setup budget to help you create a productive home office * Monthly wellness and ...

Cresta

Lead Engineer - AI Agent Voice Experience

OR · On-site +1

Solid understanding of transformer-based models, embeddings, retrieval systems, and large-scale ... Remote work setup budget or work-from-home stipend * Monthly wellness and communication allowance

Quince

Principal Engineer - Supply Chain Planning

OR · On-site +1

They have built model pipelines, experimentation frameworks, feature infrastructure, and operator ... LLM-aided observability and root-cause analysis, natural-language operator interfaces over planning ...

Cresta

Senior Machine Learning Engineer

OR · On-site +1

$205K - $270K/yr

Architect and scale LLM and retrieval-augmented generation pipelines that ground models in ... Remote work setup budget to help you create a productive home office * Monthly wellness and ...

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Remote Large Language Model Llm information

What is a remote large language model LLM?

A Remote Large Language Model (LLM) job involves working with advanced AI models, like GPT or similar, from a remote location. Professionals in these roles may develop, train, fine-tune, or implement large language models for various applications such as natural language processing, chatbots, or content generation. Remote LLM jobs can include positions like machine learning engineer, research scientist, or AI product manager. The work typically requires strong programming skills, experience with AI frameworks, and the ability to collaborate virtually with global teams.

What are the key skills and qualifications needed to thrive as a remote large language model LLM engineer?

To thrive as a Remote Large Language Model (LLM) Engineer, you need a strong background in computer science, machine learning, and natural language processing, typically supported by a relevant degree and experience with large-scale models. Proficiency with programming languages like Python, deep learning frameworks such as PyTorch or TensorFlow, and familiarity with cloud platforms and distributed systems are essential. Excellent problem-solving, communication, and collaboration skills are critical for remote teamwork and translating complex requirements into scalable solutions. These skills ensure the effective development, deployment, and maintenance of advanced language models in fast-evolving, distributed environments.

How does a remote large language model LLM engineer typically collaborate with cross-functional teams while working remotely?

Remote LLM Engineers often work closely with data scientists, product managers, and software engineers through virtual meetings, collaborative coding platforms, and shared documentation tools. Regular communication is key, with daily stand-ups or weekly syncs to align on project goals, update progress, and address challenges. They may also participate in code reviews, contribute to design discussions, and support model deployment efforts, all within a distributed team environment. This remote structure encourages self-motivation and proactive communication to ensure project success.

What is the difference between Remote Large Language Model Llm vs Data Scientist?

AspectRemote Large Language Model LlmData Scientist
Required CredentialsAdvanced degrees in AI, NLP, or related fields; experience with machine learning frameworksDegree in Data Science, Statistics, Computer Science, or related fields; strong analytical skills
Work EnvironmentPrimarily remote, focused on developing and fine-tuning language modelsRemote or on-site, analyzing data, building models, and generating insights
Employer & Industry UsageTech companies, AI research labs, startups working on NLP productsTech firms, finance, healthcare, marketing, and research organizations

While both roles involve data and machine learning, a Remote Large Language Model Llm specializes in developing and refining language models, whereas a Data Scientist focuses on analyzing data, building predictive models, and deriving insights across various domains.

What are the most commonly searched types of Large Language Model Llm jobs in Oregon?

The most popular types of Large Language Model Llm jobs in Oregon are:

What are popular job titles related to Remote Large Language Model Llm jobs in Oregon?

For Remote Large Language Model Llm jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Remote Large Language Model Llm jobs in Oregon look for?

The top searched job categories for Remote Large Language Model Llm jobs in Oregon are:

What cities in Oregon are hiring for Remote Large Language Model Llm jobs?

Cities in Oregon with the most Remote Large Language Model Llm job openings:

Remote Large Language Model Llm jobs near you

AI Engineer

OR • On-site, Remote

Particle41
Software Development • 11 - 50 employees
Learn more about Particle41external

Full-time

Re-posted 29 days ago

Job description

AI Engineer

Role Overview:

As an AI Engineer at Particle41 you will design, develop and deploy machine-learning and deep-learning models/solutions (including generative-AI) that address complex business problems. You will collaborate with data scientists, data engineers, software engineers and client stakeholders. You will also build scalable pipelines, ensure production readiness, monitor performance and iterate proactively.

In This Role, You Will:

  • Lead end-to-end development of AI/ML models: from data ingestion & preprocessing to model training, evaluation, deployment and monitoring.
  • Build generative-AI solutions (RAG, Agentic Workflows, MCP Servers, Conversation AI Agents) aligned with business goals.
  • Work closely with data engineering teams to build/maintain data pipelines, feature stores and orchestration frameworks.
  • Develop and integrate AI models into production systems (APIs, microservices, cloud deployments).
  • Optimize models/solutions for performance, scalability, robustness and cost-efficiency.
  • Monitor models/ solutions' performance in production (drift, bias, fairness, reliability) and implement remediation.
  • Document model design, experiments, data provenance and solution rationale.
  • Stay abreast of latest AI/ML research, frameworks, tools (e.g. LangChain, LangGraph, MCP Clients/Servers, Agents SDKs, LiveKit etc.) and propose innovative ideas.
  • Work directly with clients to understand problem statements, translate business requirements into AI solutions, and clearly communicate results.

Skills and Experience We Value:

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.
  • 3+ years of hands-on experience in AI/ML model development and deployment.
  • Strong programming skills in Python and experience with major ML/AI frameworks (TensorFlow, PyTorch, scikit-learn, LangChain, LangGraph).
  • Experience with vector databases (e.g., Pinecone, FAISS), RAG and Agentic workflows.
  • Experience building or fine-tuning Large Language Models (LLMs).
  • Experience deploying models into production: building REST APIs, microservices and monitoring.
  • Familiarity with Text-to-Speech and Speech-to-Text models/solutions like Deepgram, ElevenLabs, Cartesia etc.
  • Experience in computer vision, time-series modelling (ARIMA, Prophet) or multimodal AI.
  • Familiarity with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker).
  • Strong understanding of algorithms, data structures, statistics, and machine-learning fundamentals (classification, regression, clustering, deep learning, sequence models).
  • Ability to work in a fast-paced, dynamic environment and adapt to changing priorities.
  • Publications, open-source contributions, or personal projects in the AI/ML domain

About Particle41

Our core values of Empowering, Leadership, Innovation, Teamwork, and Excellence drive everything we do to achieve the ultimate outcomes for our clients. Empowering Leadership for Innovation in Teamwork with Excellence ( ELITE )

E - Empowering: Enabling individuals to reach their full potential. L - Leadership: Taking initiative and guiding each other toward success. I - Innovation: Embracing creativity and new ideas to stay ahead. T - Teamwork: Collaborating with empathy to achieve common goals. E - Excellence: Striving for the highest quality in everything we do.

We seek team members who embody these values and are committed to contributing to our mission. Particle41 welcomes individuals from all backgrounds who are committed to our mission and values. We provide equal employment opportunities to all employees and applicants, ensuring that hiring and employment decisions are based on merit and qualifications without discrimination based on race, color, religion, caste, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, local, or international laws. This policy applies to all aspects of employment and hiring. 

We appreciate your interest and encourage applicants from these regions to apply. If you need any assistance during the application or interview process, please feel free to reach out to us at careers@Particle41.com.

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