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Llm Engineer Remote Jobs in Oregon (NOW HIRING)

Forward Deployed AI Engineer

OR ยท Remote

$103K - $139K/yr

Remote with travel (~25%) Reports to: Global AI Center of Excellence Lead Role Overview 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 ...

Senior Prompt Designer II

OR ยท Remote

$101K - $108K/yr

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

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

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 ...

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 ...

Staff AI Engineer

OR ยท Remote

$145K - $210K/yr

... LLM tooling ecosystem. * Background in developer tools, low-code/no-code platforms. * Front-end development skills with TypeScript/React Compensation, Benefits, & Perks Work from home with a remote ...

We are seeking a Senior Manager of SRE who operates with a Customer-First mindset and a strong ... Employee is not required to be in or near an office frequently and works from a designated remote ...

Senior Software Engineer

OR ยท Remote

$122K - $161K/yr

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

Software Engineer, Backend (Remote)

Portland, OR ยท On-site +1

$155K - $222K/yr

Experienceutilizingautomated testing frameworks and LLM-based coding assistants within the software development lifecycle. Preferred Qualifications * Programming experience in Rust, Scala, Python.

Quality Assurance (QA) Engineer

OR ยท On-site +1

$75K/yr

As a remote-first company, we're focused on providing opportunities for high performing individuals ... An instinct for using Generative AI (Copilot, LLM agents) to write cases, generate data, and speed ...

Showing results 21-40

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:

Forward Deployed AI Engineer

NewRocket

OR โ€ข Remote

$103K - $139K/yr

Full-time

Re-posted 19 days ago


Job description

Forward Deployed AI Engineer

AI Foundry | NewRocket

Location: Remote with travel (~25%)
Reports to: Global AI Center of Excellence Lead

Role Overview

NewRocket is seeking a Forward Deployed AI Engineer to join the AI Foundry team and work directly with customers to deploy and operationalize AI-powered workflow solutions.

This role blends full-stack engineering, AI implementation, and client-facing solution delivery. Forward Deployed AI Engineers partner closely with business consultants, product teams, and customer stakeholders to translate real-world problems into deployable AI-driven solutions.

You will help customers implement agentic AI workflows, intelligent automations, and AI-powered integrations within ServiceNow and enterprise ecosystems, while also contributing to the evolution of NewRocket's AI platforms, accelerators, and intellectual property, including the NewRocket Intelligence Platform, Value Realization Dashboard, and Data Intelligence Platform.

This role requires strong engineering skills, curiosity about emerging AI technologies, and the ability to operate effectively in fast-moving customer environments.

Key Responsibilities

Client Delivery & AI Solution Implementation

Deploy and configure agentic AI workflows and AI-powered automations within client ServiceNow environments.

Translate customer business requirements into technical architectures and implementation plans.

Implement and integrate NewRocket Agent Packs and AI solutions into enterprise environments.

Work directly with customers to tailor AI solutions to their operational workflows and business processes.

Solution Engineering & Prototyping

Build demos, prototypes, and proof-of-concept implementations to validate AI-driven workflows with clients.

Rapidly iterate solutions with customers to refine AI-powered use cases.

Support implementation of AI orchestration, LLM integrations, and agentic decision models.

Full Stack Engineering & Integration

Develop integrations between ServiceNow, enterprise systems, APIs, and AI services.

Build supporting components such as scripts, microservices, automation logic, and integration services.

Implement integrations with AI platforms, APIs, and enterprise data sources.

Product & Platform Contribution

Actively contribute to the development and evolution of NewRocket's AI intellectual property and platforms, including:

NewRocket Intelligence Platform

Value Realization Dashboard

Data Intelligence Platform

Agent Packs and reusable AI solution accelerators

Responsibilities include:

identifying patterns and capabilities discovered in client deployments

contributing reusable assets and automation components

providing product feedback that improves platform capabilities

helping transform successful client implementations into repeatable platform features

Client Interaction & Technical Consulting

Participate in workshops, discovery sessions, and technical working sessions with customers.

Serve as the engineering counterpart to consulting and delivery teams.

Communicate architecture, system behavior, and technical tradeoffs clearly to stakeholders.

Systems Integration & Troubleshooting

Diagnose and resolve technical issues across AI workflows, integrations, and automation pipelines.

Ensure deployed AI solutions are secure, scalable, and production-ready.

Optimize deployed systems for performance and reliability.

Cross-Team Collaboration

Work closely with:

Business Process Consultants

Product Engineering

Data Engineers

AI / ML Engineers

AI Center of Excellence teams

Contribute to internal playbooks, reusable deployment patterns, and product evolution.

What Success Looks Like (First 6 Months)

Successfully deploy AI-powered solutions across multiple client engagements.

Deliver working AI workflows and integrations within customer ServiceNow environments.

Build trusted relationships with customer teams and internal delivery teams.

Contribute reusable components and improvements to NewRocket's AI platforms and accelerators.

Provide actionable feedback that improves the NewRocket Intelligence Platform and related products.

Required Qualifications

5-8+ years of experience in software engineering, systems integration, enterprise platforms, or automation systems.

Strong engineering foundation with experience in full-stack development, scripting, or enterprise integrations.

Experience working with AI / LLM technologies or AI-powered applications.

Experience operating in client-facing engineering or consulting roles.

Experience with cloud platforms such as AWS, Azure, or GCP.

Experience with languages such as:

JavaScript / TypeScript

Python

or similar scripting languages.

Strong ability to communicate complex technical concepts to both technical and business stakeholders.

Preferred Qualifications

ServiceNow Experience (Strong Plus)

Experience with ServiceNow development or workflow automation platforms.

Familiarity with ServiceNow scripting, APIs, and platform development patterns.

Understanding of ServiceNow data models, including:

CMDB

workflow / task tables

knowledge management

integrations with enterprise systems.

AI & Platform Experience

Experience building AI prototypes, RAG systems, or agent-based workflows.

Experience integrating LLM APIs or AI services into enterprise systems.

Experience with vector databases, embeddings, or semantic retrieval.

Experience contributing to internal platforms, reusable accelerators, or product capabilities.

Why This Role Matters

Forward Deployed AI Engineers serve as the bridge between real-world enterprise problems and NewRocket's AI platforms. By working directly with customers, they help deliver immediate value while also shaping the evolution of NewRocket's AI products, accelerators, and platform capabilities.

This role is critical to scaling the NewRocket Intelligence Platform and AI Foundry strategy.

We Take Care of Our People

NewRocket is committed to a diverse and inclusive workplace.We value and celebrate diversity, believing that every employee matters and should be respected and heard.We are proud to be an equal opportunity workplace and affirmative action employer, committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin, or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, citizenship, military, or Veteran status.For individuals with disabilities who would like to request an accommodation, please contactย hr.us@newrocket.com.