Full Stack Engineer

• Build end-to-end product features across the frontend, backend, and AI integrations
• Design multi-step agent workflows handling planning, tool use, failure, and recovery across sessions
• Integrate LLMs, memory architectures, and external APIs into reliable production systems
• Architect real-time user experiences with streaming states, partial results, and tight latency constraints
• Improve system reliability, observability, monitoring, and fallback mechanisms for LLM and tool failures
• Collect user signals and telemetry for continuous model evaluation, hallucination reduction, and product iteration
• Partner with ML and backend engineering teams to define system architectures and scalable integration patterns
• Own the product layer turning AI capabilities into usable, production-grade workflows

• Strong professional full-stack development experience using modern frameworks (Next.js, Python, Node.js)
• Practical experience building AI-driven applications, RAG systems, or working directly with LLM APIs (OpenAI, Anthropic, open-source models)
• Solid understanding of system design, API architecture, and database systems (SQL & NoSQL)
• Demonstrated ability to design robust user experiences around network latency, graceful degradation, and non-deterministic model responses
• Experience with containerization, deployment pipelines, and cloud orchestration (Docker, Kubernetes)
• Ability to handle ambiguity, exercise independent judgment, and take features from idea to production with high ownership
• Strong product intuition focused on client-side reliability and proactive, user-centric UX

• Fully remote work in Europe
• Significant equity
• Compensation flexibility
• High-impact visibility
• Strong ownership
• Small, high-talent-density team
• Human-reviewed candidate selection without automated screening algorithms or AI-driven scoring systems