Staff Backend Engineer: AI-Native Systems Architect

Product Makers; Polska; Hybrid; PLN 412,000 - 594,000; Full time

Benefits offered by this job

Stock options

Work from home stipend

Vacation + sick days

Job summary

Productboard is seeking a Staff Backend Engineer to own the architectural layer that makes our AI-native product features real, working alongside engineers, PMs, and designers to ship end-to-end. You’ll set technical direction, ship code, and help decide what’s worth building.

Your focus is on enabling reliable agent workflows and correct, scalable architectures. We value hands-on experience with Python/Kotlin/Java, LLMs, and distributed systems.

Qualifications

• 6-10+ years of production software engineering experience
• Strong backend skills in Python, Kotlin, or Java, with experience evolving service-level logic and infrastructure
• Hands-on LLM experience in real products: prompt design, context management, evaluation
• Comfort with distributed systems and event-driven architectures
• Daily use of AI coding tools as a core part of your workflow
• Former founding engineer or founder who turned business insights into prototypes

Responsibilities

• Own the architectural layer for AI-first product features
• Ship code and set technical direction
• Shape decisions about what’s worth building
• Collaborate with engineers, PMs, and designers to ship end-to-end features
• Develop agentic systems in production and multi-step LLM workflows

Skills

Python

Kotlin

Java

LLM experience

Distributed systems

AI tooling

Product engineering

Founding engineer mindset

Job description

Productboard is seeking a Staff Backend Engineer to own the architectural layer that makes our AI-native product features real, working alongside engineers, PMs, and designers to ship end-to-end. You’ll set technical direction, ship code, and help decide what’s worth building.

Your focus is on enabling reliable agent workflows and correct, scalable architectures. We value hands-on experience with Python/Kotlin/Java, LLMs, and distributed systems.