We´re the AI Lab inside a Hungarian fintech. While others talk about AI, we ship it. Our systems process real transactions, handle real customer conversations, and make real decisions. Now we need engineers who can build both the brain and the body of these products.
What You´ll Do
- 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
- Design and build production RAG pipelines—chunking strategies, embedding models, vector databases (Pinecone, Weaviate, ChromaDB), and retrieval optimization
- Architect multi-agent systems using LangGraph and LlamaIndex for complex financial workflows
- Fine-tune open-source LLMs (Llama, Qwen, Mistral) for domain-specific tasks when API calls aren´t enough
- Build AI microservices in Python/FastAPI that serve models with sub-second latency
- Implement evaluation frameworks (DSPy) to measure and improve model performance systematically
- On the Product 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
Requirements
- 4+ years of production software engineering experience
- Strong Python skills (you can write clean, testable, production-ready code)
- Hands-on experience with at least one GenAI stack (LangChain, LlamaIndex, or similar)
- You´ve built and deployed web applications—frontend or backend, ideally both
- You can explain complex technical concepts to non-technical stakeholders
Bonus Points
- 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
What We Offer
- A True ´You Build It, You Run It´ Culture: You´ll have end-to-end ownership of your models, from the first line of code to production monitoring.
- A Dynamic Fintech Environment: Where a new challenge and a new idea are born every day.
- State-of-the-Art Tools: Access to the best-in-class tools and platforms (Jira, Confluence, Miro, Figma, ChatGPT, and the latest cloud services).
- Fast Decision-Making, Flat Organization: No unnecessary bureaucracy, your voice and ideas will be heard.
- A Team of A-Players: Work with and learn from highly skilled, supportive colleagues in a culture of professional debate.
- Continuous Growth: Full support for attending trainings, workshops, and conferences to stay at the cutting edge of AI.
- Competitive & Fair Compensation: We believe that great work deserves to be recognized and rewarded.