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Llm Engineer Remote Jobs in Oregon (NOW HIRING)

Near AI

LLM Inference Engineer

OR · On-site +1

San Francisco or Remote About The Role The NEAR AI team is building decentralized and confidential ... We are specifically seeking an expert in high-performance LLM serving systems and inference ...

Gnostech LLC

Software Engineer (US-Remote)

OR · Remote

Software Engineer (US-Remote) ID: 1191 Location: US-Remote or Marlton, NJ area Description A ... Utilize AI-assisted development tools (e.g., LLM coding assistants, code analysis tools) to enhance ...

EM Key Solutions Inc

AI Engineer

OR · On-site +1

AI Engineer Remote, USA; potential for minimal ad hoc travel EMKS is seeking an AI Engineer to ... Experience with Azure OpenAI, OpenAI APIs, or similar LLM platforms. * Experience with LangChain ...

Parachute Health

Staff Software Engineer, Applied AI

OR · Remote

$200K - $260K/yr

Design and build agentic LLM pipelines that power AI features across the product. * Build full ... We are remote-first with a dedicated NYC office and reimbursement options for co-working spaces.

Quora

$139K - $168K/yr

Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ... LI-SS2 LI-REMOTE

Grafana Labs

Senior AI Engineer | US | Remote

OR · Remote

$55.25 - $71.25/hr

This is a remote opportunity and we are looking for candidates from the U.S. The Opportunity ... You'll build multi-agent architectures, LLM integrations, and backend services that connect AI ...

Quora

$139K - $168K/yr

Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ... LI-SS2 LI-REMOTE

Quora

$139K - $168K/yr

Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ... LI-SS2 LI-REMOTE

Upstart

Senior Applied ML Engineer

OR · On-site +1

$104K - $143K/yr

The Team Upstart's Applied LLM team is building foundational infrastructure that democratizes ... Remote Travel requirements As a digital first company, the majority of your work can be ...

Obsidian Security

Senior Support Engineer

OR · On-site +1

Global Services & Delivery Location: [Remote / Hybrid - specify] Reports to: Head of Customer ... Demonstrated experience building or tuning automation or agentic and LLM-based support tooling, or ...

Cresta

Senior Machine Learning Engineer

OR · On-site +1

$205K - $270K/yr

This track requires strong pre-LLM ML foundations, deep expertise in LLMs and modern prompting ... Remote work setup budget to help you create a productive home office * Monthly wellness and ...

Care Access

Senior Engineer, Test Automation

OR · Remote

$130K - $180K/yr

Evaluate and apply AI-assisted testing techniques, such as LLM-based test generation and ... Remote within the United States. This role requires 100% of work to be performed in a remote office ...

Parachute Health

Senior Platform Engineer

OR · Remote

$165K - $210K/yr

Has shipped reliable agentic LLM workflows to production, with any orchestration framework ... We are remote-first with a dedicated NYC office and reimbursement options for co-working spaces.

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Llm Engineer Remote information

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 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 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 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 most commonly searched types of Llm Engineer jobs in Oregon? The most popular types of Llm Engineer jobs in Oregon are:
What are popular job titles related to Llm Engineer Remote jobs in Oregon? For Llm Engineer Remote jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Llm Engineer Remote jobs in Oregon look for? The top searched job categories for Llm Engineer Remote jobs in Oregon are:
What cities in Oregon are hiring for Llm Engineer Remote jobs? Cities in Oregon with the most Llm Engineer Remote job openings:
Llm Engineer Remote jobs near you

LLM Inference Engineer

Near AI

OR • On-site, Remote

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Locations: San Francisco or Remote

About The Role

The NEAR AI team is building decentralized and confidential machine learning infrastructure to enable user-owned AI. Our mission is to build highly scalable and efficient infrastructure for open-source AI at a global scale.

We are specifically seeking an expert in high-performance LLM serving systems and inference optimization. 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, latency, and cost for leading open-source LLMs.

What We're Looking For

  • Strong hands-on experience in LLM inference, with expertise debugging and optimizing major inference engines such as SGLang, vLLM, or TensorRT.
  • Deep knowledge of state-of-the-art GPU architectures, and effectively exploit them using PyTorch, Triton, CuTe, CUDA, etc.
  • Proven track record in designing and maintaining end-to-end high-traffic LLM serving systems.
  • Strong problem-solving skills and ability to communicate technical ideas clearly.

We'd Love If You Have

  • Experience with Trusted Execution Environments (TEE).
  • Active contributor to open-source LLM inference engines.

Please let us know if you require any special requirements for your interview and we'll do our best to accommodate.

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