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.

We believe AI Agents represent the next major technological shift, and Zowie is positioned to lead the charge. Leading consumer brands like GetYourGuide, DocMorris, Monos, Monica Vinader, Decathlon, InPost already trust our AI Agents to be on the front line of their customer care efforts, handling millions of conversations monthly.

Having found strong traction with our customers and observing rapidly changing AI tech capabilities, Zowie is now seeking a dynamic and product-minded Backend Engineer to join our Growth Team.

What you'll do:

As a member of this team, you will be at the forefront of our product innovation efforts, including hands-on work on mission-critical GenAI use cases, and will work directly with one of our founders -

Maciej Ciołek. Your primary mission will be to explore new product ideas in collaboration with our customers, striving to understand their needs and uncover business value for them.

This is a unique opportunity to greatly impact Zowie as a whole. Our ability to innovate and rapidly test new ideas not only keeps us ahead of our competitors but also ensures that we continue to provide cutting-edge solutions to our customers. In recent months, we've spearheaded the adoption of GenAI, resulting in groundbreaking products like e.g. Hello (real-time voice interactions with visual aids), or AI Insights (Agentic AI that delivers answers to any questions related to customer interactions).

What being a part of the Growth Team is like:

Proactive, autonomous execution - We don’t wait for meetings or permission. If you’re stuck, you unblock yourself, pull context from the org, and move forward.

Tiger team energy - Small team. Massive autonomy. We ship in days, not months.

LLM fluency - We go well beyond simple prompting or Copilot autocompletions. We use AI tools to implement production LLM-powered applications… and that requires a critical understanding of the limits of LLMs and what they’re actually doing.

Figure-it-out mindset - This is not a calm, heavily structured environment. Priorities shift fast. Context switching is normal. If ambiguity energizes you, you’ll thrive here.

Extreme ownership - Full end-to-end responsibility - from spotting the problem to shipping the solution.

Ideally, you'll bring with you:

Product acumen, ownership, and focus on value delivered to customers

Ability to use AI coding tools as part of daily development, not just experimentation

3+ years of experience with Python

Strong fundamentals in software engineering (architecture, testing, debugging, code review)

High awareness of when good enough is better than perfect

High proficiency in English

It will be awesome if you have experience with:

Deploying and maintaining LLM-based production systems

NoSQL and SQL

Kafka or other message brokers

GraphQL

Docker Swarm / Kubernetes

Additional Information

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.

(AI-native) Backend Software Engineer - Product Innovation

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