Were seeking an exceptional AI Principal Product Engineer for an innovative experimental project where youll work autonomously with AI tools as your primary collaboration partner. This isnt about prompt engineering – its about leveraging AI to amplify your senior-level expertise in building complete, production-ready products.

You’ll own the entire product development lifecycle: from solution architecture and product decisions to delivery of a robust, scalable application. Think of it as being a technical co-founder with cutting-edge AI support.

Salary:

up to 30 000 PLN net/ month B2B

20 930- 25 110 PLN/ gross monthly UoP

Location: Remote

Type: Full-time, Experimental Project

Seniority Level: Senior+

Essential Requirements:

• 5+ years of senior-level software development experience

• Proven track record of delivering complete products end-to-end

• Strong architectural thinking – ability to make sound technical decisions independently

• Product mindset – understanding of user needs, business metrics, and market fit

• AI tools proficiency – practical experience with AI-assisted development (Cursor, GitHub Copilot, ChatGPT, Claude, etc.)

• Excellent communication skills – ability to articulate technical decisions to non-technical stakeholders

• Self-management excellence – thrives in autonomous work environments

Technical Stack (preferred but flexible):

• Modern web technologies (React, Node.js, Elixir, Python, or similar)

• Cloud platforms (AWS, GCP, Azure)

• Database design and optimization

• API design and integration

• DevOps and deployment automation

Bonus Points:

• Experience in startup/consulting environments

• Track record as indie maker or side projects

• Previous experience leading technical teams

• Understanding of UX/UI principles

• Machine learning or data science background

What You’ll Do

• End-to-end product development – from concept to production deployment

• Strategic technical decisions – architecture, technology stack, and implementation approach

• Product management – defining requirements, prioritizing features, and making trade-off decisions

• AI-enhanced development – effectively leveraging AI tools to accelerate development while maintaining code quality

• Stakeholder communication – regular updates and alignment with business objectives

• Quality assurance – ensuring robust, maintainable, and scalable code output

Red Flags We Avoid

• Developers who see AI as a magic wand rather than a sophisticated tool

• Candidates who cannot explain their architectural decisions

• Poor communication skills or inability to work independently

• Lack of end-to-end project experience

• Treating this as "just another coding job"
  
  

Recruitment Process

1. Phone Screening – Casual meeting with our recruiter to learn more about this position and discuss your experience

2. Technical: Case Study Based Meeting – we want to check your skills in hands-on task during a meeting with our developers.

3. Decision and Offer Meeting

Ready to shape the future of AI-enhanced development? Let’s talk!