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September 22, 2026
Senior Product Engineer (Agentic AI)
Senior • Remote
150 - 180 PLN/yr
Łódź, Poland
Apply now
Quick Facts
- Senior-level fullstack product engineering role for an AI-powered tax platform used by U.S. accounting firms
- End-to-end ownership: discovery → design → frontend/backend implementation → production → iteration
- Work with AI/LLM in professional, accuracy- and transparency-critical workflows
Description
You will build and maintain fullstack features across AI-powered tax preparation, planning, and review products. The role involves moving between product understanding, solution design, React interfaces, Python backend services, and shipping to production using real usage data and customer feedback. You’ll make product and technical decisions with autonomy while keeping the codebase clean, typed, and performant.
Responsibilities
- Build and maintain fullstack features across AI-powered tax preparation, planning, and review products
- Design and implement React interfaces, TypeScript APIs, and Python backend services
- Take ownership of features end to end from initial problem discovery through release and iteration
- Use real usage data and customer feedback to decide what to improve next
- Make product and technical decisions without waiting for all details to be defined upfront
- Collaborate with engineering, AI, product, and domain experts; incorporate feedback from customer-facing teams
- Maintain a clean, typed, high-performance codebase while shipping quickly
- Decide when to add polish versus shipping and learning faster
Requirements
- 5+ years of commercial experience building fullstack applications with React and Python
- Product mindset focused on user problems and outcomes
- Ability to own a topic end to end from unclear need to a working production solution
- Ability to make decisions with incomplete information and clarify scope iteratively
- Pragmatic engineering approach balancing quality with speed and business impact
- Strong collaboration and communication skills
- Familiarity with Google Cloud and/or Azure
- Availability to work in the afternoon (12:00–20:00) and be on-call 1–2 times per week
Benefits
- Real product ownership with significant autonomy over how to reach the outcome
- AI with a real use case: embedded in a critical professional workflow
- Visible user impact through real feedback and usage data from professional users
- Fast feedback loops: ship quickly, validate with users, and improve based on production behavior
- End-to-end responsibility across UX, backend logic, and feature direction
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