• Own and drive complex platform workstreams end-to-end — from engineering design docs through implementation, launch coordination, war room monitoring, and ongoing support. • Design, build, and operate high-quality, high-throughput distributed backend services with clear SLOs, robust observability, and well-run on-call/incident response practices. • Analyze and refine service and data architectures; propose and lead new systems that improve reliability, scalability, and operational excellence. • Establish and champion engineering standards through rigorous design reviews, production readiness, on-call ownership, and continuous improvement of instrumentation and alerting. • Partner with Legal, Finance, and Policy to deliver compliance-ready solutions across multiple jurisdictions and regulatory frameworks, balancing urgency with long-term maintainability. • Drive the adoption of modern technologies and AI toolsets to accelerate development, improve quality, and increase delivery velocity; mentor peers and influence platform roadmaps. • Contribute across critical fulfillment domains — earnings, pricing, routing, batching, matching, dispatch, and geospatial — delivering solutions that directly impact customers, shoppers, and partners.

• End-to-end development of Seed-X products and features - spec to client. • Integrating with diverse systems ranging from big data pipelines to distributed system to and edge devices built by Seed-X and its vendors. • Own microservices end-to-end. • Collaborate with Designers, Product Managers, and peers to deliver amazing products. • Maintain and develop our Data tagging and Biological Experiments Management tools and systems. • Analyze and improve precision, scale, and stability of Seed-X products, environments, and tools. • Continuously learn and evaluate new technologies in an ongoing effort to discover and evolve better solutions and infrastructure.

Role Description We're looking for a Software Engineer who has already crossed that line. Someone for whom AI tools are a first-class part of daily engineering practice, and who brings the same instinct to designing, leading, and shipping AI-powered systems for our clients. Concretely, you will: - Build LLM-based applications, agentic workflows, and AI-powered features that are production-ready and maintainable. - Implement retrieval pipelines, tool integrations, and orchestration logic within agentic systems. - Contribute to evaluation and monitoring practices for AI systems in production, helping measure and improve output quality over time. - Integrate AI capabilities into existing products and architectures with attention to reliability and performance. - Collaborate with senior engineers and product stakeholders to understand use cases and translate them into working solutions. - Use AI coding tools (Claude Code, Cursor, Copilot, or similar) as a meaningful part of your development workflow, not just occasionally. - Stay current with the AI tooling ecosystem and contribute informed perspectives on what's worth adopting. - Grow your scope progressively, with team support, toward end-to-end ownership of AI system components. Qualifications - 2+ years of experience building production software systems, with exposure to AI or ML-driven features. - Working understanding of modern AI concepts: LLMs, embeddings, retrieval systems, and at least the basics of agentic design patterns. - Solid engineering fundamentals (Python and/or TypeScript/Node.js) and experience contributing to backend services in production. - Ability to implement well-scoped solutions from clear technical direction, and to flag when scope or approach needs discussion. - Thinks about whether an agent or model-driven approach could fit a problem before defaulting to traditional code. - Genuine curiosity about how AI systems work, not just as a user, but as someone who wants to understand and improve them. - Growth mindset: you're honest about what you don't know and proactive about closing the gap. - Comfort with day-to-day ambiguity: you can make progress even when the full picture isn't clear. - Pragmatic instincts: you'd rather ship something good than stall waiting for something perfect. - Clear communicator who asks good questions and knows when to seek input. Requirements - Has used AI coding tools (Cursor, Claude Code, Copilot, etc.) as a meaningful part of a real project and can speak to what that changed. - Has built a small agentic workflow, LLM-powered tool, or AI-assisted automation, even as a side project or exploration. - Familiar with evaluation and testing approaches for AI outputs (prompt testing, output comparison, basic regression). - Has experimented with frameworks or tools in the AI ecosystem: LangChain, LlamaIndex, LangGraph, Anthropic tool use, OpenAI function calling, or similar. - Has replaced something they did manually with an AI-driven workflow and can describe what they learned. - Reads about AI developments with genuine interest and forms opinions about them. Benefits - Access to frontier AI as part of your daily work: latest models and tooling available without an approval gauntlet. - A team that already works this way. You won't be the only one rethinking how engineering gets done. - Agile Company Culture and the Best Team. - Global Projects & Opportunities. - Social Events & Team Building. - Continuous Development: Training & Development, Growth Opportunities. - Flexible Working: Remote Friendly Culture. - Great Equipment & Tools. - Flexible Benefits. - Extra Days Off. - Health Insurance. Hiring Process Our process is direct and designed to respect your time: - PX interview - Technical interview - Final conversation - Offer * The technical interview focuses on real problems, not algorithmic puzzles. We evaluate candidates holistically. If you don't meet every requirement listed above, apply anyway. We care more about how you think and work than whether your CV matches a checklist. See you on the other side!

Role Description - Entwicklung und Implementierung von benutzerfreundlichen Frontend-Komponenten unter Verwendung von Vue.js. - Entwerfen und Entwickeln von skalierbaren Backend-Lösungen mit Python. - Zusammenarbeit mit UX-Designern zur Optimierung der Benutzererfahrung und Verbesserung der Nutzeroberflächen. - Pflege und Optimierung bestehender Applikationen zur Steigerung der Leistung und Effizienz. - Durchführung von Code-Reviews und Sicherstellung von qualitativ hochwertigem Code durch Best Practices. Qualifications - Abgeschlossenes Studium der Informatik oder eine vergleichbare Qualifikation. - Mehrjährige Berufserfahrung in der Entwicklung von Webanwendungen mit Python und Vue.js. - Erfahrung in der Gestaltung von benutzerfreundlichen UX/UI-Designs. - Fundierte Kenntnisse in modernen Web-Technologien und Frameworks. - Selbstständige Arbeitsweise und Fähigkeit, remote im Team zu arbeiten. Requirements - Erfahrung mit FastAPI, Playwright und pytest. - Datenbankkenntnisse: PostgreSQL. - LDAP-Know-how.