Staff AI-Native Full-Stack Engineer

Product Makers; Polska; Hybrid; PLN 412.000 - 594.000; Vollzeit

Benefits dieser Stelle

Stock options

Work from home stipend

5 weeks vacation + 9 sick days

Flexible working hours

Conference budget

Parental leave

Relocation bonus

Zusammenfassung

Productboard is seeking a Staff Full-stack Engineer to own the architectural layer for AI-first product features. You will work with engineers, PMs, and designers to ship code, set technical direction, and shape decisions about what to build, aiming to turn ideas into validated learning twice as fast.

You will lead with strong backend skills in Python/Kotlin/Java, hands-on LLM experience, and a deep understanding of distributed systems.

Qualifikationen

• 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, trade-offs (hallucinations, latency, cost, reliability).
• Comfort with distributed systems and event-driven architectures (queues, async processing, service-to-service communication).
• Daily use of AI coding tools as a core part of your workflow — pushing prompts, refining prompts, knowing where they break.
• AI layer: Python, Pydantic AI, Braintrust
• Frontend: TypeScript, React, Relay, GraphQL
• Backend: Kotlin, Ruby (legacy services), with new services built in Kotlin

Aufgaben

• Own the architectural layer that makes this real, working alongside our engineers, PMs, and designers shipping AI-first product features end-to-end.
• Ship code, set technical direction, and shape decisions about what's worth building.
• Get from idea to validated learning twice as fast.

Kenntnisse

Python

Kotlin

Java

LLM experience

Distributed systems

Frontend: TS/React

GraphQL

Ruby

Prompt design

Memory/orchestration

Tools

Pydantic AI

Braintrust

Jobbeschreibung

Productboard is seeking a Staff Full-stack Engineer to own the architectural layer for AI-first product features. You will work with engineers, PMs, and designers to ship code, set technical direction, and shape decisions about what to build, aiming to turn ideas into validated learning twice as fast.

You will lead with strong backend skills in Python/Kotlin/Java, hands-on LLM experience, and a deep understanding of distributed systems.