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Large Language Model Llm Jobs in Oregon (NOW HIRING)

AllOne Health, Inc.

AI Full Stack Developer

This role is responsible for endtoend frontend and backend development and for integrating AIdriven capabilities such as intelligent automation, AI agents, and large language model (LLM) services ...

Near AI

LLM Inference Engineer

OR · On-site +1

In this role, you will push the boundaries of how large language models are served. What You'll Be Doing * Architect and maintain production high-traffic LLM serving systems. * Optimize throughput ...

Northbay Recruiter

Sr. Financial Analyst

Salem, OR

$110K - $130K/yr

Experience utilizing AI or large language model (LLM) tools to support financial analysis, reporting, or workflow automation * Experience evaluating capital investment opportunities or large-scale ...

Smarsh

OR

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the development of state-of-the-art natural language processing (NLP) and large language model (LLM ...

HealthEdge

Experience integrating large language model (LLM) APIs - including Anthropic Claude, OpenAI or similar - into data workflows, automated summarization pipelines or insight generation applications.

(ISC)2

This role sits at the intersection of offensive security, application security, and data science - evaluating AI/ML pipelines, large language model (LLM) integrations, and AI-powered products for ...

Career Opportunities | (ISC)²

This role sits at the intersection of offensive security, application security, and data science - evaluating AI/ML pipelines, large language model (LLM) integrations, and AI-powered products for ...

Vectara

Machine Learning (ML) Engineer

OR · On-site +1

... LLM trained for quality , and advanced Hallucination Mitigation . We are the developers of the ... Language Models (LLMs) and Multimodal Large Language Model (MMLLMs). * Improve the quality of ...

BetterHelp

OR

This role will focus on Natural Language Processing (NLP), Large Language Models (LLMs), evaluation ... Improve latency, scalability, and operational efficiency of LLM-powered applications. * Partner ...

WEKA

OR

... Large Language Model (LLM) serving. The ideal candidate combines deep technical expertise in inference and scale with the leadership maturity to mentor, motivate, and develop engineers in the ...

Relativity

Software Engineer

Portland, OR · On-site

Experience working with large language model (LLM) APIs or generative AI systems * Experience designing and building scalable systems in Azure or other cloud platforms * Experience with Kubernetes ...

Vectara

OR · On-site

$122K - $161K/yr

... LLM trained for quality, and advanced Hallucination Mitigation . We are the developers of the ... Language Models (LLMs) and Multimodal Large Language Model (MMLLMs). * Improve the quality of ...

Bishop Fox

Senior AI/LLM Penetration Tester

OR · On-site +1

We are now hiring a Senior AI/LLM Security Consultant to help clients stay ahead of emerging AI threats by conducting cutting-edge security assessments of large language models, AI agents, and AI ...

Liftoff

OR

Hands-on experience with an AI-augmented SOC platform (Prophet Security, Dropzone AI, or equivalent), or with building large language model (LLM) augmented investigation and runbook tooling.

Nvidia

OR

$122K - $161K/yr

... large language model workloads. We are looking for a Senior Software Engineer to lead the bring-up ... Analyze scaling efficiency for distributed LLM workloads using data, tensor, pipeline, and expert ...

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All JobsLarge Language Model Llm JobsLarge Language Model Llm Jobs in Oregon

Large Language Model Llm information

What are some common challenges faced by Large Language Model (LLM) Engineers in their day-to-day work?

LLM Engineers often encounter challenges related to scaling models efficiently, optimizing performance on large and complex datasets, and ensuring the responsible use of AI technologies. Balancing the trade-offs between model accuracy, speed, and ethical considerations can be demanding, especially as real-world applications often require rapid iterations and rigorous testing. Additionally, staying updated with the latest research advancements and integrating new methods into production systems is an ongoing responsibility. Many engineers tackle these challenges by working closely with data scientists, researchers, and product teams in collaborative, agile environments.

What is a Large Language Model (LLM) job?

A Large Language Model (LLM) job typically involves working with advanced AI models designed to understand and generate human-like text. Roles in this field may include research, data engineering, model fine-tuning, prompt engineering, or application development. Professionals in LLM jobs often work with machine learning algorithms, natural language processing (NLP), and large-scale datasets to enhance AI capabilities. These roles are common in AI-driven industries, including tech companies, research institutions, and startups. Strong programming skills, knowledge of deep learning frameworks, and expertise in NLP are often required.

Which 3 jobs will survive AI?

Large Language Model (LLM) specialists, healthcare professionals, and skilled tradespeople are likely to continue thriving as AI automates routine tasks. These roles require complex decision-making, emotional intelligence, or manual skills that are difficult for AI to replicate fully. Continuous learning and adaptability remain important for job security in these fields.

What jobs can I do with LLM?

Large Language Models (LLMs) are used in roles such as AI research scientist, NLP engineer, data scientist, and machine learning engineer. These jobs involve developing, fine-tuning, and deploying LLMs, often requiring skills in programming, data analysis, and understanding of AI frameworks like TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive in the Large Language Model Llm position, and why are they important?

Excelling in the role of a Large Language Model (LLM) Engineer requires strong expertise in natural language processing, machine learning, and computer programming, often supported by an advanced degree in computer science or a related field. Familiarity with industry-standard frameworks like PyTorch or TensorFlow, as well as experience with cloud computing platforms and large-scale data management, is highly valued. Communication, creativity, and problem-solving are essential soft skills to effectively collaborate with cross-functional teams and innovate solutions. These skills ensure the development, deployment, and refinement of powerful language models that can address diverse business needs and technical challenges.

What jobs pay 500,000 a year?

High-paying jobs that can reach or exceed $500,000 annually include executive roles such as CEOs, CFOs, and other C-suite positions, as well as specialized professions like top-tier surgeons, investment bankers, and successful entrepreneurs. These roles typically require extensive experience, advanced skills, and often involve leadership, risk management, or highly specialized expertise.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as senior machine learning engineers, AI research directors, or chief AI officers, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms. Compensation at this level reflects significant expertise and responsibility in developing and deploying AI systems.
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 Large Language Model Llm jobs in Oregon? For Large Language Model Llm jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Large Language Model Llm jobs in Oregon look for? The top searched job categories for Large Language Model Llm jobs in Oregon are:
Large Language Model Llm jobs near you
Infographic showing various Large Language Model Llm job openings in Oregon as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 22% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution.
Forward Deployed Engineer - Databricks - Forensic Discovery & Financial Crime

Forward Deployed Engineer - Databricks - Forensic Discovery & Financial Crime

Deloitte

Portland, OR • On-site

Other

Posted 11 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

58th of 150 rated financial services

Job description

Senior Consultant - Forward Deployed Engineer (FDE) - Databricks

Forward Deployed Engineers at Deloitte work alongside clients to help turn artificial intelligence opportunities into scalable business solutions. As a Senior Consultant - Forward Deployed Engineer (FDE), you will design, build, and implement AI-enabled applications and data solutions in enterprise environments. This role combines software engineering, data engineering, and client-facing delivery to help move solutions from concept to production. If you can translate technical complexity into business value, this role offers the opportunity to help clients accelerate adoption of generative AI capabilities.

Recruiting for this role ends on 9/30/2026

Work you'll do

As a Senior Consultant - Forward Deployed Engineer (FDE) - Databricks on the Forensic, Discovery, & Financial Crime team, you will be responsible for designing, deploying, and scaling AI-enabled solutions that help clients address complex business and technology needs.

  • Collaborate with client stakeholders to define business needs, operational constraints, priority use cases, and measurable success criteria.
  • Design, build, and integrate AI-enabled applications, application programming interfaces (APIs), machine learning models, data pipelines, and microservices tailored to client environments.
  • Use AI-assisted development workflows to accelerate delivery while maintaining code quality, security, and maintainability.
  • Lead implementation activities required to move solutions into production, including architecture, security, privacy, and access reviews.
  • Troubleshoot technical and integration issues and optimize performance across Databricks and cloud-based enterprise environments.
  • Create reusable assets, document workflows and support processes, and help client teams build the capabilities needed to sustain and extend delivered solutions.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Our Forensic, Discovery, & Financial Crime offering provides services to support anti-money laundering, discovery, business disputes, and investigations. We help protect brands from financial crime and other corporate misconduct, as well as empower organizations with advanced tradecraft and technology to combat emerging and evolving threats.

Qualifications

Required:

  • Bachelor's degree, or equivalent experience, in Computer Science, Data Science, Engineering, or a related field
  • 3+ years of experience in software engineering, data engineering, data science, analytics engineering, or technical delivery roles, with experience in Amazon Web Services (AWS), Microsoft Azure, Google Cloud, or comparable cloud platform services
  • 1+ years of experience with Databricks, including hands-on experience with one or more of the following: DBRX, MLflow, Vector Search, or Databricks AI Gateway
  • 1+ years of experience leading project workstreams or client engagements, including translating business requirements into technical solutions and aligning delivery priorities with stakeholders
  • 1+ years of hands-on experience building and deploying artificial intelligence (AI), generative artificial intelligence (GenAI), or large language model (LLM)-powered solutions in client or production environments
  • Demonstrated proficiency building and shipping production code with AI-assisted development tools, including the judgment to direct, review, and correct AI-generated output and to maintain engineering guardrails such as code review, testing, type checking, and linting
  • Experience presenting, defending, and iterating on technical designs and architectures with client and internal stakeholders, and incorporating feedback through to delivery
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred:

  • Experience supporting anti-money laundering (AML), fraud, financial crime, investigations, or compliance technology use cases
  • Experience with Spark, Airflow, dbt, streaming, data modeling, feature engineering, experimentation, or model evaluation
  • Experience with machine learning operations (MLOps) or large language model operations (LLMOps), including evaluation frameworks, model monitoring, or prompt management
  • Experience integrating LLM-based solutions with enterprise systems through APIs, microservices, or event-driven architectures
  • Experience delivering software within enterprise security and compliance processes, such as security and architecture design reviews, data and privacy impact assessments, and identity and access management
  • Working knowledge of how modern large language models behave in applications, including tool and function calling, structured outputs, evaluation of model outputs, and the trade-offs between generative and deterministic approaches

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134500 to $265100.

Qualifications:

Senior Consultant - Forward Deployed Engineer (FDE) - Databricks

Forward Deployed Engineers at Deloitte work alongside clients to help turn artificial intelligence opportunities into scalable business solutions. As a Senior Consultant - Forward Deployed Engineer (FDE), you will design, build, and implement AI-enabled applications and data solutions in enterprise environments. This role combines software engineering, data engineering, and client-facing delivery to help move solutions from concept to production. If you can translate technical complexity into business value, this role offers the opportunity to help clients accelerate adoption of generative AI capabilities.

Recruiting for this role ends on 9/30/2026

Work you'll do

As a Senior Consultant - Forward Deployed Engineer (FDE) - Databricks on the Forensic, Discovery, & Financial Crime team, you will be responsible for designing, deploying, and scaling AI-enabled solutions that help clients address complex business and technology needs.

  • Collaborate with client stakeholders to define business needs, operational constraints, priority use cases, and measurable success criteria.
  • Design, build, and integrate AI-enabled applications, application programming interfaces (APIs), machine learning models, data pipelines, and microservices tailored to client environments.
  • Use AI-assisted development workflows to accelerate delivery while maintaining code quality, security, and maintainability.
  • Lead implementation activities required to move solutions into production, including architecture, security, privacy, and access reviews.
  • Troubleshoot technical and integration issues and optimize performance across Databricks and cloud-based enterprise environments.
  • Create reusable assets, document workflows and support processes, and help client teams build the capabilities needed to sustain and extend delivered solutions.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Our Forensic, Discovery, & Financial Crime offering provides services to support anti-money laundering, discovery, business disputes, and investigations. We help protect brands from financial crime and other corporate misconduct, as well as empower organizations with advanced tradecraft and technology to combat emerging and evolving threats.

Qualifications

Required:

  • Bachelor's degree, or equivalent experience, in Computer Science, Data Science, Engineering, or a related field
  • 3+ years of experience in software engineering, data engineering, data science, analytics engineering, or technical delivery roles, with experience in Amazon Web Services (AWS), Microsoft Azure, Google Cloud, or comparable cloud platform services
  • 1+ years of experience with Databricks, including hands-on experience with one or more of the following: DBRX, MLflow, Vector Search, or Databricks AI Gateway
  • 1+ years of experience leading project workstreams or client engagements, including translating business requirements into technical solutions and aligning delivery priorities with stakeholders
  • 1+ years of hands-on experience building and deploying artificial intelligence (AI), generative artificial intelligence (GenAI), or large language model (LLM)-powered solutions in client or production environments
  • Demonstrated proficiency building and shipping production code with AI-assisted development tools, including the judgment to direct, review, and correct AI-generated output and to maintain engineering guardrails such as code review, testing, type checking, and linting
  • Experience presenting, defending, and iterating on technical designs and architectures with client and internal stakeholders, and incorporating feedback through to delivery
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred:

  • Experience supporting anti-money laundering (AML), fraud, financial crime, investigations, or compliance technology use cases
  • Experience with Spark, Airflow, dbt, streaming, data modeling, feature engineering, experimentation, or model evaluation
  • Experience with machine learning operations (MLOps) or large language model operations (LLMOps), including evaluation frameworks, model monitoring, or prompt management
  • Experience integrating LLM-based solutions with enterprise systems through APIs, microservices, or event-driven architectures
  • Experience delivering software within enterprise security and compliance processes, such as security and architecture design reviews, data and privacy impact assessments, and identity and access management
  • Working knowledge of how modern large language models behave in applications, including tool and function calling, structured outputs, evaluation of model outputs, and the trade-offs between generative and deterministic approaches

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134500 to $265100.

Education:Bachelor's DegreeEmployment Type:

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