Job Description

ABOUT THE ROLE

We are building a new product at the intersection of agentic AI and hard backend engineering. The work runs deep: distributed systems, demanding data problems, and AI engineering that takes large language models beyond demos, into systems you can trust.

As a Junior Backend Developer you will write production Java at the core of it, side by side with senior engineers — and with the AI tooling we build along the way. You will get structured mentoring, real ownership early, and a steep but well-supported learning curve.

WHAT YOU'LL DO

• Design and implement backend features across our service, data, and agent layers, with code review and mentoring at every step.
• Ship work that is genuinely done: tested, documented, and running on our test and production environments.
• Build proofs of concept that explore new product and AI capabilities.
• Contribute to our engineering standards and tooling — quality here is a team sport.

WHAT WE EXPECT FROM YOU

• Learn fast: absorb the stack, ask sharp questions, and turn feedback into visible progress.
• Deliver: own well-scoped features end to end and meet your commitments with quality.
• Think in abstractions: our codebase is built on a few deep concepts — mastering them is the job.
• Make AI part of how you work: use agents and AI tooling deliberately when designing, coding, and testing.

WHAT YOU BRING

• Solid Java (or another strong object-oriented language): collections, generics, exceptions, basic threading.
• Comfort with REST APIs and the fundamentals of client–server and distributed systems.
• Working SQL and a clear mental model of how data is modeled and persisted.
• A testing reflex — you do not consider code done without tests.
• Genuine interest in LLMs and agentic AI: you have built or experimented with something, however small.
• Clear communication and the appetite to learn in a demanding environment.

BONUS POINTS

• Hands-on LLM experience: prompting, tool/function calling, RAG, or agent frameworks (LangChain4j, LangChain, etc.).
• Exposure to dependency injection (Guice, Spring), Maven, Git workflows, and CI.
• Concurrency beyond the basics (java.util.concurrent).
• Exposure to NoSQL stores (document, key-value, or column).
• Python.

QUALIFICATIONS

• Bachelor degree in Computer Science or Computer Engineering.
• Other degrees considered with a proven track record in software development.