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Llm Jobs in Remote, OR (NOW HIRING)

Oxford Global Resources

AI Architect

OR · Remote

Artificial and Large Language Model Architect As an AI & LLM Architect , you will play a pivotal role in designing and implementing the technology architecture for advanced AI (including Large ...

Lumen Technologies

Senior Lead Applied AI Scientist

OR · Remote

$176K - $220K/yr

Hands-on experience building LLM, RAG, agentic, and machine learning solutions. * Strong experience with AI evaluation, model performance optimization, responsible AI, and production monitoring.

Lumen Technologies

Senior Lead System Architect

OR · Remote

$132K - $176K/yr

Hands-on experience with agentic AI, LLM applications, RAG architectures, multi-agent frameworks, model evaluation, vector search, and AI orchestration technologies. * Experience building scalable AI ...

New

EM Key Solutions Inc

Temporary AI Engineer

OR · On-site +1

Experience with Azure OpenAI, OpenAI APIs, or similar LLM platforms. * Experience with LangChain, LlamaIndex, Semantic Kernel, or comparable AI frameworks. * Experience building Retrieval-Augmented ...

Lumen Technologies

Principal Software Architect

OR · Remote

LLM-assisted design, agentic workflow architecture, integrating AI capabilities into system designs safely and observably * Architect for operational excellence: observability-first design, chaos ...

New

Textexpander, Inc.

Revenue Operations Lead - 100% Remote

OR · On-site +1

$140K - $170K/yr

AI & Automation - Demonstrated experience building AI agents or workflows using Claude, ChatGPT, or other LLM platforms, including prompt engineering, agent design, and integrating LLMs into business ...

Project Sapiens

Value Engineer - Applied AI

OR · Remote

Stay current on the latest LLM capabilities, agentic AI frameworks, and enterprise deployment patterns - and bring that knowledge into every customer engagement. Required Qualifications * 7+ years in ...

EM Key Solutions Inc

AI Engineer

OR · On-site +1

Experience with Azure OpenAI, OpenAI APIs, or similar LLM platforms. * Experience with LangChain, LlamaIndex, Semantic Kernel, or comparable AI frameworks. * Experience building Retrieval-Augmented ...

Sapiens

Value Engineer - Applied AI

OR · On-site +1

Stay current on the latest LLM capabilities, agentic AI frameworks, and enterprise deployment patterns - and bring that knowledge into every customer engagement. Required Qualifications * 7+ years in ...

Anytime AI

Infrastructure Engineer

OR · Remote

$100K - $200K/yr

Experience developing foundational support services for AI-driven products or open-source LLM projects. * Familiarity with information security compliance standards (e.g., SOC2, HIPAA) and experience ...

EM Key Solutions Inc

AI Engineer

Myrtle Point, OR · Remote

Experience with Azure OpenAI, OpenAI APIs, or similar LLM platforms. Experience with LangChain, LlamaIndex, Semantic Kernel, or comparable AI frameworks.Experience building Retrieval-Augmented ...

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Llm information

What is an LLM?

LLMs, or Large Language Models, are advanced artificial intelligence systems designed to understand and generate human-like text based on vast amounts of data. These models, such as OpenAI's GPT series, are trained on diverse datasets and can perform a range of tasks, including answering questions, writing content, translating languages, and more. LLMs work by predicting the next word in a sequence, allowing them to create coherent and contextually relevant responses. They are widely used in applications like chatbots, virtual assistants, and automated content generation.

What are the key skills and qualifications needed to thrive as an LL.M. graduate?

To thrive as an LLM graduate, you need advanced knowledge of legal principles, strong research and analytical skills, and a prior law degree such as an LLB or JD. Familiarity with legal databases, research tools like Westlaw or LexisNexis, and sometimes bar admission or certification in specific jurisdictions is advantageous. Exceptional written and verbal communication, attention to detail, and cross-cultural competence are standout soft skills in this field. These abilities are crucial for interpreting complex legal issues, advising clients, and succeeding in global or specialized legal practice.

What are some common challenges faced by professionals working with large language models and how can they be addressed?

Professionals working with large language models often encounter challenges such as managing computational resource demands, ensuring data privacy, and mitigating biases in model outputs. Collaboration with data engineers and IT teams is essential to optimize infrastructure and streamline model deployment. Staying updated on best practices and regulatory guidelines helps address ethical concerns and improve model performance. Continuous monitoring and iteration are key to maintaining accuracy and relevance in real-world applications.

What is the difference between Llm vs Paralegal?

AspectLlmParalegal
Required CredentialsLaw degree (JD or equivalent), possibly an LLM for specializationAssociate's degree or certificate in paralegal studies
Work EnvironmentLaw firms, corporate legal departments, academiaLaw firms, corporate legal departments, government agencies
Industry UsageLegal practice, academia, researchLegal support, case preparation, client communication

The main difference is that an Llm is an advanced law degree for specialization or academic purposes, while a paralegal provides legal support and case assistance without being licensed to practice law. Both roles work closely within legal environments, but the Llm is more focused on legal expertise and research, whereas paralegals handle administrative and preparatory tasks.

What jobs can I do with a large language model?

A large language model (LLM) can be used in roles such as AI researcher, NLP engineer, data scientist, or machine learning engineer, focusing on developing and deploying AI applications. These jobs typically require skills in programming, data analysis, and understanding of AI frameworks like TensorFlow or PyTorch.

Which large language model is most in demand?

The most in-demand large language models for jobs like LLM development and deployment are OpenAI's GPT-4 and GPT-3, as well as Google's PaLM and Meta's LLaMA. Skills in fine-tuning, prompt engineering, and understanding these models are highly sought after in the AI industry.
More about Llm jobs

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What cities near Remote, OR are hiring for Llm jobs?

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Infographic showing various Llm job openings in Remote, OR as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 66% Physical, 5% Hybrid, and 29% Remote job distribution.

AI Architect

Oxford Global Resources

OR • Remote

Contractor

Life, Retirement

Re-posted 26 days ago

Job description

Job Description:

Artificial and Large Language Model Architect 

Job Description

As an AI & LLM Architect, you will play a pivotal role in designing and implementing the technology architecture for advanced AI (including Large Language Model (LLM)) platform systems and solutions. You will translate business roadmaps into technical requirements and architecture. Your contributions will be instrumental in shaping cutting-edge architectures, frameworks, and methodologies, pushing the boundaries of natural language processing (NLP) and machine learning. You will architect sophisticated large language models (LLMs) with the remarkable ability to process and generate natural language. Additionally, you will have the opportunity to design neural network parameters, leveraging extensive amounts of unlabeled text data, to further enhance the model's capabilities.
Job Details:

  • Architect and design end to end Generative AI products, applications and solutions for specific business needs and provide implementation guidance during delivery.
  • Leverage, customize and implement Gen AI models, algorithms, and methodologies to improve the overall quality Gen AI products, applications and systems.
  • Analyze and evaluate the performance of Gen AI systems and provide design recommendations.
  • Estimate the effort and time required for deploying an end-to-end solution using LLMs.
  • Estimate cost of using LLMs in different forms for business use cases and the viability, develop cost models for different usage patterns.
  • Analyze and make right technological choices for generative ai solutions.
  • Design and prototype reusable components for LLM based solution patterns.
  • Architect components of an LLM solution to address Responsible AI & Security.
  • Design LLM Ops solutions for large scale operationalization.


What you need:

  • Experience in designing & deploying AI / ML solutions using various cloud vendors.
  • Experience in the LLM and Generative AI space.
  • Experience architecting and operationalizing LLM driven application architecture patterns.

Company Description

At Oxford, everything is built on solid relationships. If you join the Oxford team, you will quickly see how we work together towards one common goal: delivering The Right Talent. Right Now. We lead with passion, positivity, and accountability through our words and actions, creating an environment where those we work with can think big, have fun, and know they make a difference.

Oxford Global Resources logo

About Oxford Global Resources

Sourced by ZipRecruiter

Oxford Global Resources delivers tailored solutions for any technical challenges you face using our partnership-first approach. We specialize in workforce mobilization, digital transformation, and modern enterprise. We are committed to providing you with The Right Talent. Right Now. In 1984, we started Oxford with a handful of employees in a converted schoolhouse in Reading, Massachusetts. The people that shape our organization are some of the best in the industry. They are dedicated to making an impact and are with you every step of the way. We strive to meet the most pressing needs, solve the most complex problems, and go beyond expectations for our clients and our consultants. Together, we drive great outcomes. Whether you’d like to join the thousands of professionals who trust Oxford to advance their careers or partner with us to solve a challenge your business is facing, contact us at any of our 35 global offices.

Industry

Recruiting and staffing services

Company size

501 - 1,000 Employees

Headquarters location

Beverly, MA, US

Year founded

1984

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