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Prompt Engineering Internship Remote Jobs in Oregon

Gruve

AI Vibe Coding Engineer

OR · Remote

$64K - $72K/yr

Strong understanding of LLMs, RAG architectures, prompt engineering, AI agents, and MCP Preferred ... remote. Please note that Gruve does not provide visa sponsorship for this role; therefore ...

Juvare

Senior DevOps Engineer

OR · On-site +1

$129K - $166K/yr

Atlanta / Remote Must Have * Cloud Platforms: Strong hands-on experience with AWS and Azure ... Experience with LLMs / GenAI workflows (RAG, prompt engineering, fine-tuning) * Familiarity with ...

HealthEdge

Machine Learning Engineer

Experience with LLM APIs, agentic frameworks (LangChain, Strands, etc.), and prompt engineering ... Work across multiple time zones in a hybrid or remote work environment. * Long periods of time ...

Quora

AI Automation Engineer -Remote

Eugene, OR · On-site +1

$202K - $234K/yr

Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

Quora

AI Automation Engineer -Remote

Portland, OR · On-site +1

$202K - $234K/yr

Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

Quora

AI Automation Engineer -Remote

Salem, OR · On-site +1

$202K - $234K/yr

Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

Quora

AI Automation Engineer -Remote

Gresham, OR · On-site +1

$202K - $234K/yr

Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

Natera

Staff AI-Native Platform Engineer

OR · Remote

US - Remote Experience: 8+ years in Cloud/Platform Engineering or Infrastructure, with a proven ... Act as a force multiplier by mentoring engineers on advanced AI tooling, prompt engineering for ...

Rapta, Inc

Senior Software Engineer

Portland, OR · On-site +1

Expertise in prompt engineering and AI-assisted development as a daily practice - Claude Code ... While we will consider remote applicants on a case-by-case basis, local presence is strongly valued ...

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Prompt Engineering Internship Remote information

What does a typical day look like for a remote Prompt Engineering Intern?

As a remote Prompt Engineering Intern, your typical day involves drafting, testing, and refining text prompts to optimize responses from AI language models. You may collaborate virtually with engineers and data scientists, participate in regular team meetings, and document prompt performance and outcomes. The role often includes researching best practices, troubleshooting inconsistent results, and iterating on your prompts based on feedback. You'll primarily work independently but will also engage with mentors and peers through chat, video calls, and shared code repositories. This structure offers a blend of focused solo work and collaborative learning, ideal for building both technical and professional skills.

What is a Prompt Engineering Internship Remote job?

A Prompt Engineering Internship Remote job is a temporary, remote position where interns learn how to design, refine, and optimize prompts for AI models, such as large language models. Interns work with AI teams to improve model outputs, ensure accuracy, and enhance user interactions. This role involves skills in natural language processing, critical thinking, and experimentation with AI prompts. Since it's remote, interns collaborate online using tools like Slack, GitHub, and cloud-based AI platforms.

What are the key skills and qualifications needed to thrive in the Prompt Engineering Internship Remote position, and why are they important?

To thrive as a Prompt Engineering Internship Remote, you need a solid understanding of natural language processing, prompt design for AI models, and experience with Python or similar programming languages. Familiarity with AI development tools like OpenAI APIs, version control systems (e.g., Git), and online collaboration platforms is typically required. Strong attention to detail, creative problem-solving, and excellent written communication skills help candidates excel in crafting and refining prompts. These skills are crucial for developing effective AI interactions, collaborating remotely, and adapting to rapidly evolving AI technologies.

What are popular job titles related to Prompt Engineering Internship Remote jobs in Oregon? For Prompt Engineering Internship Remote jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Prompt Engineering Internship Remote jobs in Oregon look for? The top searched job categories for Prompt Engineering Internship Remote jobs in Oregon are:
What cities in Oregon are hiring for Prompt Engineering Internship Remote jobs? Cities in Oregon with the most Prompt Engineering Internship Remote job openings:
Prompt Engineering Internship Remote jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Salem, OR • Remote

Other

Posted 18 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply