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Remote Llm Engineer Intern Jobs in Oregon (NOW HIRING)

Senior Platform Engineer

OR ยท On-site +1

$165K - $210K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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.

Forward Deployed AI Engineer

OR ยท On-site +1

$103K - $139K/yr

Remote with travel (~25%) Reports to: Global AI Center of Excellence Lead NewRocket NewRocket ... Support implementation of AI orchestration, LLM integrations, and agentic decision models. Full ...

AI Vibe Coding Engineer

OR ยท Remote

$65K - $70K/yr

Build and iterate on LLM-powered applications and workflows * Use tools like Cursor, Claude Code ... remote. Please note that Gruve does not provide visa sponsorship for this role; therefore ...

Sr. Software Engineer - Accounting

$122K - $161K/yr

... an LLM backed workflow system - Realm Flows. These and other features enable us to provide ... We support fully remote work, but we have very nice offices in Santa Barbara, CA and San Diego, CA.

Senior Prompt Designer II

OR ยท On-site +1

$101K - $108K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... engineering. * 4-5 years in prompt design or LLM product development, with a track record of ... SELECT ONE: #LI-Remote

Lead AI Solutions Delivery Engineer

  • Medical

  • Life

  • Retirement

  • PTO

Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns ... Employee is not required to be in or near an office frequently and works from a designated remote ...

Senior Software Engineer, Site Reliability

OR ยท On-site +1

$57 - $75.75/hr

Experience leveraging LLM/GenAI to improve SRE efficiency and processes Position Location - This role is available in the following locations: Remote, San Mateo, Columbus, Austin, NY Time Zone ...

Staff Backend Engineer - Submission Processing

OR ยท On-site +1

$210K - $290K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Location: Remote (USA) We are looking for engineers who enjoy going deep on hard problems and ... You'll be working on building and scaling LLM-based systems that process billions of highly ...

... model (LLM) augmented investigation and runbook tooling. * Experience operating in cloud ... We are a remote-first company with US hubs in Redwood City, Los Angeles, and New York City. Travel ...

DevRel

OR ยท On-site +1

$180/hr

... AI/developer community (YouTube, X, newsletter, podcast) * Experience with LLM evaluation ... Remote-first team What We Offer * Competitive Base salary - $180-250K, based on proven experience ...

Senior Software Engineer

OR ยท On-site +1

$122K - $161K/yr

Practical experience with GenAI/LLM integration in backend systems * Competence in frontend web ... Remote

AI Engineer

OR ยท 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 ...

Showing results 21-40

Remote Llm Engineer Intern information

What is a remote LLM engineer intern?

A Remote LLM Engineer Intern is a student or early-career professional who works remotely to support the development and implementation of Large Language Models (LLMs), such as GPT or BERT. Their responsibilities often include data preprocessing, model training, fine-tuning, evaluation, and contributing to codebases for AI-driven applications. Interns collaborate with senior engineers and researchers, learning best practices in natural language processing and machine learning, while gaining hands-on experience with cutting-edge technologies. This role is typically offered by tech companies, research labs, or AI startups and allows interns to contribute to projects from anywhere with internet access.

What are the typical projects and responsibilities for a remote LLM engineer intern?

As a Remote LLM Engineer Intern, you can expect to work on tasks such as fine-tuning large language models, evaluating model outputs, and implementing improvements to existing NLP pipelines. Interns often collaborate with data scientists, machine learning engineers, and product teams to develop and test new features or workflows. A typical week may involve coding experiments, analyzing datasets, addressing model bias or performance issues, and participating in virtual team meetings. This role offers hands-on experience with state-of-the-art language models and exposure to the latest advancements in AI.

What are the key skills and qualifications needed to thrive as a remote LLM engineer intern, and why are they important?

To excel as a Remote LLM Engineer Intern, you need a solid background in computer science fundamentals, proficiency in Python, and experience with machine learning or natural language processing, often supported by relevant coursework or internships. Familiarity with deep learning frameworks such as PyTorch or TensorFlow, and version control systems like Git, is usually required. Strong problem-solving abilities, self-motivation, and the ability to communicate technical concepts remotely are essential soft skills. These competencies enable interns to contribute effectively to LLM projects, adapt to remote collaboration, and develop solutions in a rapidly evolving AI field.

What is the difference between Remote Llm Engineer Intern vs Remote Machine Learning Engineer Intern?

AspectRemote Llm Engineer InternRemote Machine Learning Engineer Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, AI, or related fields; familiarity with NLP and LLMsSimilar educational background; focus on ML algorithms, data processing, and software engineering
Work EnvironmentRemote internship, often in tech companies developing NLP or AI productsRemote internship, in companies working on ML applications across industries
Employer & Industry UsageUsed in AI startups, research labs, and tech giants focusing on NLP and language modelsCommon in tech firms, research institutions, and companies deploying ML solutions

The main difference between a Remote Llm Engineer Intern and a Remote Machine Learning Engineer Intern lies in their focus areas. The Llm Intern specializes in language models and NLP-specific tasks, while the ML Intern has a broader scope in machine learning applications. Both roles require similar educational backgrounds and are typically remote internships in tech-driven environments.

What cities in Oregon are hiring for Remote Llm Engineer Intern jobs?

Cities in Oregon with the most Remote Llm Engineer Intern job openings:

Senior Platform Engineer

Parachute Health

OR โ€ข On-site, Remote

$165K - $210K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago


Job description

About the Team

The team supports the core platform services that power our application, including the Ruby monolith and queueing systems, and sets the site reliability engineering standards across the organization. They also enhance workflows and automation across the software development lifecycle (SDLC), building agentic tooling to streamline these processes.

What you'll do

  • Build agentic workflows that enhance the SDLC for engineers across the platform. Evaluate and recommend improvements based on accuracy, latency, and cost.
  • Strengthen our platform, developer tooling and SDLC: Build and operate internal developer tooling - CLIs, CI/CD pipelines, GitHub Actions, and policy-as-code - that speed up and safeguard how ~40 repos ship code.
  • Drive fleet-wide changes: dependency and framework upgrades, security/vulnerability remediation, and standards rollouts across many services safely.
  • Improve production observability: work with product teams to ensure they are equipped to effectively monitor the performance and reliability.
  • Help steer architectural and technical direction to ensure our applications follow cohesive and consolidated standards that ensure a high-level of quality and reliability
  • Actively partner with other product teams to understand use cases and identify how to best enable and support them.
  • Advise on best practices across platform use cases, service observability, maintenance and operation.
  • Contribute across the stack where the platform needs it - the Ruby monolith and TypeScript/React, as an enabler of product teams

Who you are

  • A builder with a strong bias for action.
  • Comfortable with ambiguity and able to turn a vague goal into a shipped result.
  • Possess a strong sense of ownership: own features end-to-end. Identify high-leverage opportunities and run with them.
  • A strong cross-functional collaborator: you build relationships beyond your own team, listen to understand others' needs, and translate them into solutions that enable and support them.
  • Comfortable making changes across dozens of repos and services, reasoning about blast radius and safe rollout/rollback.
  • A developer-experience mindset: you build tools other engineers have to adopt, and you care whether they actually do.
  • Strong at debugging and hardening existing systems

Requirements

  • 5+ years of professional software engineering experience
  • Experience working in a startup, incubator, or other fast-paced 0-to-1ย  environment where you own features end-to-end and set your own direction.
  • Hands-on with CI/CD (GitHub Actions or similar)
  • Kubernetes or other container orchestration experience at scale.
  • Strong full-stack web application experience in Python, Ruby, Go or other modern languages. Must be willing to learn and work in Ruby.
  • Familiarity with prompt engineering and the prompt iteration lifecycle.
  • Fluent with AI-powered coding tools (e.g. Cursor, Claude Code) to move quickly.
  • Strong written and verbal communication; able to drive alignment without being asked.
  • Must reside in the U.S.

Nice to Have

  • Healthcare Interoperability Standards: Exposure to FHIR, HL7, or integrating with major EHR systems (Epic, Cerner, etc.)
  • Experience working cross-functionally to improve business process
  • Experience as technical lead on projects working with UX/UI design and/or product management.
  • Has shipped reliable agentic LLM workflows to production, with any orchestration framework (LangGraph, LangChain, etc).
  • Experience evaluating and testing LLM workflows: eval harnesses, golden datasets, regressions, and observability.
  • IaC: Experience with building scaling infrastructure on AWS and with Terraform.

Benefits

  • Medical, Dental, and Vision Coverage: Comprehensive plans with options for low-to-no-cost premiums.
  • Employer HSA Contribution: Company-funded contributions to your Health Savings Account.
  • 401(k) Retirement Plan
  • Equity Incentive Plan
  • Annual Company-Wide Bonus: Opportunity for up to 15% bonus based on company performance.
  • Remote-First Culture: We are remote-first with a dedicated NYC office and reimbursement options for co-working spaces.
  • Flexible Vacation Policy
  • Summer Fridays: 5 additional Fridays off during the summer (separate from PTO).
  • Home Office and Wellness Stipend
  • Monthly Internet Stipend
  • Annual Learning and Development Stipend

Base Salary Band (based on experience and level)

$165,000 - $210,000

To ensure you're leveled accurately, all new engineers participate in a 90-day review. This allows us to calibrate your initial interview results with your actual work, ensuring your title and compensation align with your impact and our engineering rubric.