Requirements
- Strong software engineering background.
- Proven experience building LLM-based systems in production.
- Hands-on experience with: LLMs and RAG architectures, Chatbots or conversational AI systems, Tool/function calling and agent-style patterns.
- Experience with context or tool-serving systems (MCP or similar).
- Experience integrating AI into real-time production products.
- Understanding of performance, scalability, and cost trade-offs.
- Cloud experience (preferably AWS).
- Strong engineering fundamentals (testing, debugging, reviews, observability).
Nice to Have
- Multi-agent or workflow-based systems.
- Fine-tuning or adapting open-source LLMs.
- ML platforms / MLOps background.
- Experience operating latency- or cost-sensitive systems.
- Production incident ownership in AI systems.
Benefits
- Cafeteria — annual budget you allocate to: Sports • Medical • Mental health • Home office • Languages.
- Paid maternity/paternity leave + monthly childcare allowance.
- 20+ vacation days, unlimited sick leave, emergency time off.
- Remote-first + tech support + coworking compensation.
- Team events (online/offline/offsite).
- Learning culture with internal courses + growth programs.
Team
Team size: 1000+. Structure: across locations and time zones
