Skip to content

What we’re about

Portland AI Engineers is a community of software developers at all experience levels exploring the frontiers of generative AI through hands-on experimentation. We're builders who leverage cutting-edge models—from frontier APIs to on-device, LLMs to multimodal—to create practical applications ranging from personal hobby projects to enterprise-scale solutions. Join us to share discoveries, compare approaches, and push the boundaries of what's possible in this rapidly evolving field.
What is an AI Engineer? An AI Engineer is a software developer who integrates existing language model capabilities into products that solve real-world problems. We are not pre-training models or delving deep into data science—we're focused on applying our foundational software development skills to harness generative AI and its surrounding tools ecosystem to build scalable, user-centric applications.

"In numbers, there's probably going to be significantly more AI Engineers than there are ML engineers / LLM engineers. One can be quite successful in this role without ever training anything."
Andrej Karpathy, Formerly OpenAI, Tesla

Upcoming events

1

See all
  • Portland AI Engineers October Meeting

    Portland AI Engineers October Meeting

    Multnomah County Library Albina Branch, 205 NE Russell St, Portland, OR, US

    We are excited to host a series of Lightning Round style presentations (see presenters below)
    This will be several quick 10 minute presentations from builders leveraging AI in either the craft of software development (coding agents), and/or as features of a software product.

    This is a great opportunity to sample a diverse range of what builders are up to in the AI engineering space. Be ready to provide feedback and your unique perspectives. We focus on the tech, this is not a sales pitch event.

    Schedule:

    • 5:30 - 6:00: Snacks and networking
    • 6:00 - 7:00: Presentations
    • 7:00 - 7:30: Wrap up and networking

    Get involved:

    For more information and to join our community, visit portlandai.engineer
    Thank you to our amazing sponsors
    Portland Incubator Experiment (PIE)
    Silicon Florist
    AlteredCraft
    O'Reilly
    Instrument

    ====== Presenters =======

    ### Damian Griggs

    Description
    Current generative AI often fails at long-form tasks due to a lack of coherent memory. I developed the Perceptual Grid Engine (PGE), an architecture that solves this by creating a functional long-term memory for AI. The design is directly inspired by the systematic spatial mapping techniques used by blind individuals for navigation. In this talk, I’ll break down the PGE’s architecture and showcase its power across four distinct, open-source applications, proving its versatility and potential for building more reliable and creative AI.
    Bio
    Damian Griggs is an inventor and strategic advisor whose experience with legal blindness informs his approach to solving complex challenges. He is the creator of the Perceptual Grid Engine (PGE), a novel AI architecture that addresses the critical long-term memory problem in generative models, and the inventor of a proprietary AI Film Pipeline to empower creators.

    ***

    ### Adam Keys

    Description: Coding agents like Claude Code are delivering on the AI hype, today. For non-developers in particular, the potential here is tremendous. It’s never been easier for those who can sling a little bit of prose to start slinging code. We’ll explore how the whole product engineering team, product managers, designers, engineering managers, and developers of all experience levels, can start using coding agents today to take on tasks that were out of reach just 12 months ago.
    Bio: Adam Keys builds software! He has worn the manager, leader, writer, developer hats throughout his career. Adam has spoken at RubyConf, RailsConf, OSCon, and many others over the years. He recently moved to Portland, OR from Texas to enjoy all four seasons and multiple biomes. Adam writes online at https://therealadam.com.

    ***

    ### Dr. Arielle Hammond, EdD

    This talk introduces a multimodal AI learning coach that uses computer vision and speech recognition to guide children through hands-on STEM projects in real time. The system fuses YOLOv8-based visual detection with child-adapted Whisper STT and LLM-generated scaffolding to provide context-aware hints while learners build with LEGO and robotics kits. Designed for noisy, teacher-light environments, it aims to reduce staffing barriers and expand STEM access. Beyond education, the underlying perception and feedback framework has potential applications in multimodal coaching for physical skills such as music or sports.
    Bio
    Dr. Arielle Hammond is founder of Journey to STEAM, a K–8 STEM education company serving 50+ schools across Oregon. She specializes in creating scalable, equity-driven learning models. Her current work focuses on developing a multimodal AI coach that integrates computer vision, speech, and language understanding to enable accessible, hands-on STEM learning. She holds an Ed.D. in Educational Leadership.

    ***

    ### Andrew Musselman

    Description: At ATA Systems, we’re building tools to make AI not only powerful for practitioners but also practical for everyday users. We are currently working with The AI Alliance on the open-source project Gofannon Agent Lab, which gives technical teams a collaborative environment to create, tune, and deploy AI agents. To make these agents accessible across an organization, we’ve also developed a development workflow to build front-end user interfaces for agents, giving a clean, intuitive way for non-technical staff to directly consume the agents built in Gofannon. This workflow allows us to stand up production-quality, user-facing applications driven by the flexibility and agility of AI agents in a matter of days rather than weeks. Together, they form a full stack for AI agent workflows: a practitioner’s workbench on the back end, and user-facing apps on the front end.

    ***

    ### Owen Spencer

    From Skepticism to AI-First: A Development Team's Transformation Journey
    Practical experience implementing AI practices within our development organization. Starting from traditional development workflows, I'll cover our adoption process, key tools and practices we integrated, real challenges we faced along the way, and measurable impacts on team productivity and code quality. The talk will conclude with our roadmap for deeper AI integration and lessons learned that other teams can immediately apply to accelerate their own AI adoption journey.
    Bio:
    Senior Director, DTC Applications and AI Enablement, with extensive background in development and managing engineering and UX teams across brand and agency environments. I focus on practical AI implementation strategies that drive measurable improvements in development workflows, team productivity, and product.

    • Photo of the user
    • Photo of the user
    • Photo of the user
    136 attendees

Group links

Find us also at