Full Stack AI Engineer állás Budapest

Feladatok

• 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
  

• 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
  

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
  

Elvárások

• 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
  

Előnyök

• 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
  

Amit ajánlunk

• Hybrid, Budapest
  
• 1.900.000 - 3.000.000 HUF/Month (The salary range may be adjusted upwards based on seniority and relevant experience.)
  
• Real ownership: you build it, you run it.
  
• Fast-moving fintech environment with flat hierarchy.
  
• Best-in-class tools: Jira, Confluence, Miro, Figma, ChatGPT, modern cloud services.
  
• Skilled teammates, open debate, supportive culture.
  
• Training, workshops, and conferences to stay ahead in AI.
  

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