About Zowie:
At Zowie, we’re revolutionizing how businesses interact with their customers. We’re creating a future where AI Agents handle 100% of customer interactions - delivering instant, personalized, and exceptional experiences.
AI Agents represent the next major technological shift, and Zowie is positioned to lead the charge. Leading consumer brands like Costco, DocMorris, Monos, Decathlon, InPost already trust our AI Agents to be on the front line of their customer care efforts, handling millions of conversations monthly.
Behind that, there's a truly AI-native (across all functions) team we're developing.
About the role:
With great enterprises already deploying our GenAI-powered platform in many mission-critical use cases and unlocking huge wins, we’re investing in the next wave - more impact, smoother integrations, faster time-to-value. This is why we’re now growing our engineering team and hiring versatile, AI-native Product Engineers who want to work very closely to the GenAI frontier and help build the next truly impactful product.
Here, you’ll build the foundations that power our AI Agents at scale, designing systems for reliability, performance, and change. Curious about the tech you’d be building? Check out the tutorials here to get the feel for the platform, or see it in action here.
Two important things:
1. This role is for software engineers who think beyond a single stack. You need to be strong in at least one of the following languages: Java, Scala, or Python - and open to working across the others when it’s the right tool for the job.
2. We are an AI‑native engineering org. This means that you’re expected - not just allowed - to use modern AI tools in your daily work. Software engineering is changing fast with new AI tooling - and we’re not sitting on the sidelines. Here, you’ll actively push that frontier: using AI to explore designs, scaffold code, generate tests, and document decisions, while holding the line on solid engineering - clear contracts, readable code, strong test suites, observability, and maintainable architectures. This isn’t YOLO vibe-coding; it’s disciplined engineering, accelerated.
If all this sounds exciting and you're already actively using AI while coding and adapting your work style to these tools, let's talk.
Ideally, you'll bring with you:
Strong coding skills in Java, Scala, or Python and a passion for learning
Solid expertise in enhancing your engineering setup and workflow with AI dev tools
Excellent knowledge of SQL and relational databases
Solid system design skills that allow you to choose technologies and architectures wisely
Experience with distributed systems
Product acumen, ownership, and focus on value delivered for the customers
Working proficiency in English and Polish (both spoken and written)
It will be awesome if you have:
Experience with Docker Swarm / Kubernetes
Experience with NoSQL databases and GraphQL
Experience with Kafka or other message brokers
Engineering @ Zowie
Despite being a compact team, we efficiently manage and enhance a sophisticated system comprising over 100 microservices, predominantly coded in Scala and Java. These microservices communicate synchronously through gRPC, handle asynchronous calls via Kafka, expose GraphQL to the frontend, and leverage databases like PostgreSQL, Mongo, ElasticSearch, or Redis. We believe in automatic tests, and use of Ports and Adapters practices in our services.
At Zowie, our engineering ethos is centered around the tangible impact our work has on our users. It's not just about meeting predefined requirements. It's about having a substantial influence on the overall solution. We believe in the empowerment of our engineers to contribute not only to code but also to the strategic decisions that shape our product. This requires a holistic understanding of the business, the product, and the technology at play. Your expertise will enable you to connect the dots and provide valuable insights to guide the best course of action.
Autonomy and meritocracy are at the core of our values. We champion the idea that sound arguments should prevail. As part of the team, you'll be instrumental in shaping end-to-end solutions, influencing architecture decisions, and proposing crucial enhancements to our engineering practices.
Our daily routine aligns with industry standards, including regular planning sessions, standups, timely code reviews, and close collaboration with fellow engineers. We value efficiency and therefore the only constant you should expect is Retrospective. Everything else is being constantly adjusted to fit the changing needs.
AI-native culture:
Our team embraces AI as a fundamental part of how we work - not just for speed, but for creativity, documentation, and scale. We’re looking for people who are excited to develop within this space and contribute to such culture by bringing ideas to the table, and continuously evolving their approach to leverage emerging tools.
