Description About the job Entirely is creating the first AI-native operating system for marketing — aplatform that allows enterprise teams to orchestrate campaigns, channels andcontent with unprecedented automation, personalization and control.Headquartered in Switzerland, we work with portfolio companies, strategictechnology partners and leading academic institutions to address one of thebiggest challenges in enterprise tech today: the fragmentation and complexityof the marketing stack. Join our dedicated hub for AI innovation, where bold ideas are tested,breakthrough capabilities are developed and emerging research is translatedinto enterprise-ready solutions. In close collaboration with core business unitsand universities such as ETH Zurich, we move from rapid prototypes toproduction pilots that redefine how global marketing teams operate. We are actively hiring engineers who want to work hands-on at the frontier ofagentic AI. You will design and build core components of our platform: fromPython-based backends and ML pipelines to React frontends and systemintegrations. You will collaborate with product, design and research colleaguesto turn prototypes into enterprise-grade applications. You will operate at the intersection of research and product: experimenting withLLMs and agent frameworks, implementing scalable systems and ensuringsolutions meet the performance, compliance and governance needs of globalenterprise customers. This is an opportunity to be part of a small, high-caliberteam, working end-to-end on problems that combine cutting-edge AI with real-world business impact. Requirements Bachelor’s or Master’s degree in Computer Science, Software Engineeringor a related field (or equivalent practical experience) Strong proficiency in Python with experience building APIs, SDKs andbackend services Proficiency in React/TypeScript, comfortable building and maintainingfront-end applications and working with agentic coding tools Exposure to Agentic AI frameworks is desirable (e.g. Pydandtic AI,LangGraph) and willingness to deepen skills quickly Ability to develop Agents using context engineering (prompts, skills etc) Strong approach to systems thinking; understanding and appreciation ofholistic system behaviour and characteristics. Ability to explain designchoices and rationale in the context of the system and product goals. Familiarity with cloud infrastructure (AWS preferred), containerization(Docker) and DevOps principles; hands-on experience with CI/CD pipelines Contributed to product testing using automation tools for integration andE2E testing Awareness of how multi-tenant, cloud-based solutions are architected Startup mentality: hands-on, pragmatic, able to shift between backend,frontend and integration work as needed Excellent collaboration and communication skills; able to work closely withcolleagues across engineering, product, design and research Comfortable taking the initiative without close supervision; identifying andsuggesting solutions to problems and sharing your insights and knowledgeacross the team Willing to be in Zurich for in-person working days (3 days/week) Fluent in English