PlanetArt

Technology

AIProductEngineer,InternalTools

$110–130k Calabasas, California, United States FULL TIME Remote Friendly
The Brief

“AI Product Engineer, Internal Tools at PlanetArt. Skills: AI-powered tools, Internal tools, Prototyping, Prompt engineering. Build AI-powered internal tools. Build prototypes”

What You'll Achieve.

Turn ambiguous problems into software; Translate needs into practical solutions; Refine based on feedback; Improve user experience; Understand and maintain what was built

Industry & Context.

Technology
Problems you'll solve

Understand workflow problem; Ask sharp questions; Translate feedback into better tools; Know when to simplify; Know when to iterate; Know when to push back; Technical judgment; Debug issues

Eligibility Requirements

Public portfolio required, 3 days onsite, 2 days remote, Local to Calabasas area

What They're Looking For.

Must Have

Publicly reviewable portfolio work, Build and ship functional apps, Hands-on AI-assisted development tools, Practical full-stack development ability, Prompt engineering skills, Work directly with non-technical users, UX and product instincts, Technical judgment, Excellent written and verbal communication skills, High agency, ownership, Manage multiple small projects, Bachelor's degree or equivalent practical experience

Nice to Have

Experience building internal tools, Experience with AI-assisted product development, Experience with LLM APIs, Familiarity with structured outputs, Experience with low-code platforms, Experience designing simple interfaces, Experience working with ecommerce, Experience collaborating with software engineers

What You'll Do.

Build AI-powered internal tools

Build workflow applications

Work with departments

Understand pain points

Translate needs into software

Use AI-assisted development tools

Iterate on prototypes

Partner with Head of AI

Identify high-impact opportunities

Create functional prototypes

Validate prototypes with users

Refine prototypes based on feedback

Improve prompt chains

Design structured outputs

Improve structured outputs

Design agent workflows

Improve agent workflows

Design AI-assisted processes

Improve AI-assisted processes

Build lightweight full-stack applications

Balance speed with quality

Determine prototype readiness

Escalate for engineering support

Translate stakeholder requests

Create clear requirements

Create acceptance criteria

Create implementation plans

Improve user experience

Make interface choices

Document handoff notes

Stay current with AI coding tools

Stay current with prototyping platforms

Stay current with LLM capabilities

Stay current with applied AI workflows

How You'll Work.

Team & Collaboration

Engineering team members; Business departments; Internal users; Head of AI; Small team of software engineers

Communication Scope

Written communication; Verbal communication

Process & Methodology

Prioritize high-impact work, Move quickly

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