Full Stack Engineer

Full Stack Engineer – AI Systems Employment Type: Permanent Employment Contract (UoP / Umowa o Pracę) Location: 100% Remote About the Project Today, over 5 billion people use basic applications like email, notes, and tasks that were not built as AI-native tools. Our mission is to build a proactive smart assistant for everyday users, bringing intelligence to conversations, errands, organization, and daily workflows with minimal prompting. Our product focuses on high reliability for long-running workflows, persistent context, and real-world task completion. We tackle multi-step reasoning, external tool integration, and model predictability. Our target is to help users complete daily tasks with over ~90% reduced time, creating an experience that feels truly magical. We are a lean, world-class team with high talent density. We make decisions rapidly, strike a balance between high-quality output and fast iteration, and give our engineers the autonomy to execute independently. Role & Key Responsibilities As a Full Stack Engineer – AI Systems, you will build the product layer that turns foundational AI capabilities into dependable, production-grade applications. End-to-End Product Engineering: Build features across the frontend, backend, and AI integration layers. Agent Architecture: Design agent workflows that effectively handle multi-step planning, tool execution, failure modes, and self-recovery. Real-time AI Interactions: Engineer responsive systems utilizing streaming, partial results, and tight latency constraints. System Reliability & Observability: Integrate LLMs, memory, and third-party tools into systems that perform consistently under real-world conditions. Continuous Iteration: Build robust fallback mechanisms and continuously improve system success rates based on evaluation metrics and user telemetry. What We Are Looking For Strong Full Stack Experience: Proven background building end-to-end features across frontend and backend stacks. System Design & APIs: Solid understanding of API architecture, data flow, and distributed system fundamentals. AI/LLM Experience: Hands-on experience working with LLMs, RAG architectures, or AI-powered features in production. High Ownership: Ability to take feature ownership from initial concept through design to production deployment. Pragmatic Mindset: Comfortable making clear engineering choices in fast-moving, evolving environments. Tech Stack Frontend / Backend: Next.Js, Node.Js, Python AI & Machine Learning: PyTorch, OpenAI / Anthropic / Open-source LLMs Data & Infrastructure: SQL & NoSQL databases, Docker, Kubernetes What We Offer Employment Contract (UoP): Stable employment with standard statutory benefits. 100% Remote Work: Complete flexibility to work from anywhere. High Impact: Opportunity to shape an AI-native product reaching global scale. Streamlined Culture: High autonomy, low friction, and quick decision-making. Interview Process We value your time and aim for a fast, transparent evaluation: Online Coding Assessment (Practical skills validation) HR Interview (Introductory chat to align on background and expectations) Technical Interview (Deep dive into system design, full-stack architecture, and AI concepts) Founder Interview (Final alignment on vision, culture, and high-level execution)