Erfahrung / Fähigkeiten erforderlich:
WHAT WE'RE LOOKING FOR
We're hiring for potential and attitude, not a decade of experience.
A recent degree in Computer Science, Data, Engineering, or a related field (or a self-taught path that proves you can build)
Solid Python foundations, you've written real programs, not just notebook snippets
Genuine curiosity about AI, LLMs, and data, some hands-on tinkering (projects, internships, hackathons, side projects) counts a lot
Comfort with SQL, or eagerness to get there fast
The instinct to debug your own code and figure things out before reaching for help
Clear communication and the humility to ask good questions
You care about why something works, not just that it works
NICE TO HAVE (TRULY OPTIONAL)
A personal project involving an LLM, an API, or a dataset you found interesting
Any exposure to Google Cloud, containers, or Git workflows
A hackathon, open-source contribution, or that one weekend project you can't stop talking about
Curiosity about regulated environments and why "move fast and break things" doesn't always apply to banks
OUR STACK
Google ADK · Vertex AI · BigQuery · Grafana · Python (async, APIs, testing) · vector databases & embedding models · GCP · CI/CD, containers, IAM, secrets management
Don't know all of these? Neither did we, once. You'll learn them here.
WHAT YOU'LL GET
Real ownership of real systems, early
Mentorship from senior engineers who actually want to teach
A front-row seat to production AI in a domain where the stakes are real
A small, ambitious team where your work is visible and your ideas count
Ready to build the future of banking? We'd love to see what you've made, projects, repos, and enthusiasm welcome alongside your CV.
