Senior AI Engineer
állásajánlat

This is a hybrid role for people who refuse to be boxed in. Some weeks you'll be knee-deep in RAG pipeline optimization. Others, you'll be building the React interface that makes that intelligence accessible to humans. We need T-shaped engineers who go deep in one area while staying dangerous across the full stack.

On the AI Side

Build responsive frontends in React (Next.js) and TypeScript that make AI features intuitive

Develop backend services in Node.js/NestJS or Python that orchestrate AI capabilities with business logic

Own the full lifecycle: you build it, you deploy it, you monitor it, you improve it

Work directly with product managers to translate business problems into technical solutions

Projects You'll Touch

Call Center Intelligence: Whisper-based transcription with LLM post-processing, task extraction, and Teams Bot integration

Document Understanding: RAG pipelines with DSPy optimization for financial document Q&A

Multi-Agent Workflows: Autonomous agents that handle complex, multi-step financial processes

AI-Powered Internal Tools: Chat interfaces (Chainlit, custom React) that boost team productivity

Non-Negotiables

Experience with RAG systems in production (not just tutorials)

You've fine-tuned LLMs for real use cases

Background in fintech, banking, or high-stakes production systems

MLOps experience (model monitoring, A/B testing, deployment pipelines)

Contributions to open-source AI projects

This is NOT for You If...

You prefer deep specialization. If you want to only do ML research or only write frontend code, we have separate roles for that.

You need extensive guidance. We're a small team. You'll have support, but you'll also need to figure things out independently.

You chase hype over substance. We adopt new tech when it solves real problems, not because it's trending on Twitter.

You're not comfortable with ambiguity. GenAI is messy. Requirements change. We need people who thrive in uncertainty.

You want a 9-to-5 where nothing is urgent. We move fast. Fintech has real deadlines and real consequences.

Real Impact: Your code affects millions of transactions. This isn't a side project—it's core product.

Ownership: Small team, big responsibility. No waiting months for approvals. Ship fast, learn faster.

Modern Stack: We don't maintain legacy COBOL. You'll work with tools that didn't exist two years ago.

No BS Culture: Flat hierarchy. Your ideas matter more than your title. We debate, decide, and move on.

Budapest-Based Flexibility: Hybrid with actual flexibility. Come to the office when collaboration matters.

The Team

You'll join the Core AI Product Pod—a cross-functional team of about 10 people including GenAI Engineers, Technical Product Managers, and Platform Engineers. We operate with a "you build it, you run it" mentality and value craftspeople who take pride in their work.