AI Product Engineer, Internal Tools

Description

PlanetArt is seeking an AI Product Engineer, Internal Tools to build the next generation of AI-powered internal tools, prototypes, automations, and workflows across the company. This role involves working directly with departments and internal users to understand pain points, observe workflows, gather feedback, and translate needs into practical software solutions.

• Use AI-assisted development tools such as Cursor, Claude Code, Codex, ChatGPT, and similar platforms to rapidly prototype and iterate.
• Partner closely with the Head of AI and a small team of software engineers to identify high-impact opportunities for internal tooling and AI enablement.
• Create functional prototypes quickly, validate them with users, and refine them based on real feedback and usage.
• Design and improve prompts, prompt chains, structured outputs, agent workflows, and AI-assisted processes for internal business use cases.
• Build lightweight full-stack applications, scripts, integrations, and automations using modern web and AI development tools.
• Balance speed with quality by knowing when a prototype is good enough, when it needs hardening, and when engineering support is required.
• Translate vague or incomplete stakeholder requests into clear requirements, user flows, acceptance criteria, and implementation plans.
• Improve user experience through thoughtful workflow design, clear interface choices, concise copy, and practical usability improvements.
• Document tools, workflows, prompts, assumptions, and handoff notes so internal teams and developers can understand and maintain what was built.
• Stay current with emerging AI coding tools, prototyping platforms, LLM capabilities, and applied AI workflows.

What You'll Do

Key Responsibilities include:

• Build AI-powered internal tools, prototypes, dashboards, automations, and workflow applications for teams across PlanetArt.
• Work directly with departments and internal users to understand pain points, observe workflows, gather feedback, and translate needs into practical software solutions.
• Use AI-assisted development tools such as Cursor, Claude Code, Codex, ChatGPT, and similar platforms to rapidly prototype and iterate.
• Partner closely with the Head of AI and a small team of software engineers to identify high-impact opportunities for internal tooling and AI enablement.
• Create functional prototypes quickly, validate them with users, and refine them based on real feedback and usage.
• Design and improve prompts, prompt chains, structured outputs, agent workflows, and AI-assisted processes for internal business use cases.
• Build lightweight full-stack applications, scripts, integrations, and automations using modern web and AI development tools.
• Balance speed with quality by knowing when a prototype is good enough, when it needs hardening, and when engineering support is required.
• Translate vague or incomplete stakeholder requests into clear requirements, user flows, acceptance criteria, and implementation plans.
• Improve user experience through thoughtful workflow design, clear interface choices, concise copy, and practical usability improvements.
• Document tools, workflows, prompts, assumptions, and handoff notes so internal teams and developers can understand and maintain what was built.
• Stay current with emerging AI coding tools, prototyping platforms, LLM capabilities, and applied AI workflows.

Requirements

• A publicly reviewable portfolio is required. Applications without portfolio links will not be considered.
• Demonstrated ability to build and ship functional apps, websites, prototypes, automations, or internal tools.
• Strong hands-on experience with AI-assisted development tools such as Cursor, Claude Code, Codex, GitHub Copilot, ChatGPT, v0, or similar tools.
• Practical full-stack development ability, especially with modern web technologies such as JavaScript, TypeScript, React, Next.js, Python, APIs, databases, or similar tools.
• Strong prompt engineering skills, including the ability to design, test, refine, and document prompts for real business workflows.
• Strong UX and product instincts, with the ability to make tools simple, useful, and easy for internal teams to adopt.
• Technical judgment to review AI-generated code, debug issues, avoid fragile implementations, and escalate appropriately when production engineering support is needed.
• Excellent written and verbal communication skills with technical and non-technical audiences.
• High agency, strong ownership, and comfort operating in ambiguity.
• Ability to manage multiple small projects, prioritize high-impact work, and move quickly without losing sight of quality.
• Bachelor's degree in Computer Science, Information Technology, Human-Computer Interaction, Design, Analytics, or a related field preferred; equivalent practical experience and exceptional portfolio work will be considered.

Portfolio Requirement

A strong candidate portfolio may include:

• Live apps, websites, or internal-tool-style projects with meaningful functionality.
• GitHub repositories showing code quality, iteration history, and technical decision-making.
• AI-powered tools, LLM workflows, prompt systems, automations, or agent-based applications.
• Case studies showing how user feedback was translated into product changes.
• Examples of rapid prototypes that solved real business, workflow, operational, creative, or ecommerce problems.
• Projects with real UX depth, not just landing pages, toy demos, or tutorial clones.

Bonus Qualifications

• Experience building internal tools for business operations, ecommerce, marketing, creative, customer service, analytics, or product teams.
• Experience with AI-assisted product development workflows, rapid prototyping, and vibe coding methodologies.
• Experience with LLM APIs such as OpenAI, Anthropic, Google Gemini, or similar platforms.
• Familiarity with structured outputs, RAG, vector databases, embeddings, evals, AI agents, or tool-calling workflows.
• Familiarity with low-code or rapid development platforms such as Retool, Supabase, Firebase, Vercel, Airtable, n8n, Zapier, Make, or similar tools.
• Experience designing simple interfaces, workflows, or prototypes in Figma or similar tools.
• Experience working with ecommerce, consumer products, personalization, creative production, or make-on-demand businesses.
• Experience collaborating with software engineers and preparing prototypes for production handoff.