Kategória: Munka, állás
Honlap:
Részletek...Non-Negotiables 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. Our Stack Cloud : Azure (AKS, Azure OpenAI Service), Docker, Terraform. AI/ML: PyTorch, Hugging Face, LangChain, LlamaIndex, DSPy, Whisper. Backend : Python (FastAPI), Node.js/ TypeScript (NestJS). Frontend : React (Next.js), TypeScript. Data : PostgreSQL, Vector DBs ( Pinecone, Weaviate, ChromaDB). Observability : Prometheus, Grafana, Loki. AI Lab | Budapest, Hungary | Hybrid/Remote You're not just writing code. You're building the intelligence layer of financial products that people trust with their money. We're the AI Lab inside a Hungarian fintech that powers POS terminals and digital banking solutions. 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 Actually Do
