Product Engineer, AI

Arcade is building the world’s first AI physical product creation platform, enabling users to design, purchase, and sell custom products using generative AI. The Product Engineer, AI will be responsible for owning critical products, collaborating with engineers and designers, and launching impactful AI-driven experiences.

What you'll do:

• Design and launch work that has real-world impact, cultural visibility, and end-to-end ownership, shaping an entirely new category and product paradigm
• Collaborate closely with leading scientists, AI researchers, and designers to integrate cutting-edge models and tools into intuitive, production-ready features
• Own end-to-end product workflows from ideation to launch, including user research, technical scoping, coding, and post-launch iteration
• Write and maintain system prompts
• Design, build and test agentic workflows, LLM chains, and multimodal model calls to power core user actions
• Run prompt tuning, tool usage evaluations, and comparative model benchmarks
• Prototype, test, and refine generative AI interfaces that make product creation feel magical, personal, and effortless
• Implement taste/quality controls, define acceptance thresholds, and instrument on-surface quality metrics to protect user trust at scale

What they're looking for:

• Availability to start in the near term
• A Computer Science or Engineering degree, with 2+ years of rigorous software development experience
• Experience building agentic workflows in personal, research, or production settings; can design and ship a modern agentic system from end-to-end
• Fluency with agent tooling (LangChain or equivalent custom stacks)
• Technically fluent builder comfortable reading source code, working in notebooks, and debugging eval pipelines
• A demonstrated passion and curiosity for AI: you keep up with trends, emerging innovations, and new applications, and think critically about how to leverage them
• Experience building or shipping products: personal projects, internships, startups, or open-source contributions all count
• Familiarity with modern AI infrastructure — LLMs (and their limitations), prompt engineering, multimodal/image models, vector databases, and agent frameworks
• Bonus: early-stage startup experience (Seed–Series B), prior founding experience, or significant shipped side projects

Benefits:

• Competitive compensation
• Lunch provided daily
• Company events