Senior Software Engineer - Agentic AI Platform

entirely โ€ข Switzerland
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AI Summary

Design and build core components of an AI-native marketing operating system including Python backends, React frontends, and ML pipelines. Develop autonomous agents and scalable data systems for enterprise marketing orchestration. Collaborate with product, design, and research teams to deliver production-ready solutions.

Key Highlights
Build AI-native marketing operating system platform
Work with LLMs and agent frameworks at enterprise scale
Develop Python backends, React frontends, and ML pipelines
Collaborate with ETH Zurich and DuMont Media Group
Hybrid work with 3 days/week in Zurich
Key Responsibilities
Build core components of the platform spanning backend and frontend including Python-based backends, APIs, SDKs, MCP servers, and React/TypeScript frontends
Contribute to development of Autonomous Agents and support seamless integration with heterogeneous enterprise systems
Design and implement scalable data pipelines to support taxonomy/ontology, orchestration logic, and marketing agents
Apply best practices in software engineering including sustainable design choices, CI/CD, automated testing and monitoring of cloud infrastructure
Collaborate closely with AI/ML engineers, product managers and designers to turn prototypes into enterprise-ready applications
Build lightweight agents, workflow automations and internal tools to mirror how marketing technologists will use the platform
Participate actively in design discussions and help shape technical decisions for the stack in a growing startup environment
Technical Skills Required
Python React TypeScript AWS Docker Serverless CI/CD API development SDK development MCP servers Agentic AI frameworks LLM implementation Data pipeline design Cloud infrastructure
Benefits & Perks
Competitive salary
Performance-based incentives
Hybrid work with flexible hours
Regular collaboration days in Zurich
Cozy office near Europaallee
English as default language
Snackable Swiss-German lessons
Nice to Have
Exposure to Agentic AI frameworks (e.g. Pydantic AI, LangGraph)
Willingness to deepen skills quickly
Ability to develop Agents using context engineering

Job Description


About the job


Entirely is creating the first AI-native operating system for marketing โ€” a platform that allows enterprise teams to orchestrate campaigns, channels and content with unprecedented automation, personalization and control.


Headquartered in Switzerland, we work with portfolio companies, strategic technology partners and leading academic institutions to address one of the biggest challenges in enterprise tech today: the fragmentation and complexity of the marketing stack.


Join our dedicated hub for AI innovation, where bold ideas are tested, breakthrough capabilities are developed and emerging research is translated into enterprise-ready solutions. In close collaboration with core business units and universities such as ETH Zurich, we move from rapid prototypes to production pilots that redefine how global marketing teams operate.


We are actively hiring engineers who want to work hands-on at the frontier of agentic AI. You will design and build core components of our platform: from Python-based backends and ML pipelines to React frontends and system integrations. You will collaborate with product, design and research colleagues to turn prototypes into enterprise-grade applications.


You will operate at the intersection of research and product: experimenting with LLMs and agent frameworks, implementing scalable systems and ensuring solutions meet the performance, compliance and governance needs of global enterprise customers. This is an opportunity to be part of a small, high-caliber team, working end-to-end on problems that combine cutting-edge AI with real-world business impact.


Your Mission


โ€ข Build core components of our platform, spanning both backend and frontend: Python-based backends, APIs, SDKs, MCP servers, and React/TypeScript frontends

โ€ข Contribute to the development of Autonomous Agents and support seamless integration with heterogeneous enterprise systems

โ€ข Design and implement scalable data pipelines to support taxonomy/ontology, orchestration logic, and marketing agents

โ€ข Apply best practices in software engineering: sustainable design choices, CI/CD, automated testing and monitoring of cloud infrastructure (AWS, Docker, Serverless)

โ€ข Collaborate closely with AI/ML engineers, product managers and designers to turn prototypes into enterprise-ready applications

โ€ข Build lightweight agents, workflow automations and internal tools to mirror how marketing technologists will use the platform

โ€ข Participate actively in design discussions and help shape technical decisions for the stack in a growing startup environment


Your Profile


โ€ข Bachelor's or Master's degree in Computer Science, Software Engineering or a related field (or equivalent practical experience)

โ€ข Strong proficiency in Python with experience building APIs, SDKs and backend services

โ€ข Proficiency in React/TypeScript, comfortable building and maintaining front-end applications and working with agentic coding tools

โ€ข Exposure to Agentic AI frameworks is desirable (e.g. Pydantic AI, LangGraph) and willingness to deepen skills quickly

โ€ข Ability to develop Agents using context engineering (prompts, skills, etc.)

โ€ข Strong approach to systems thinking; understanding and appreciation of holistic system behaviour and characteristics; ability to explain design choices and rationale in the context of the system and product goals

โ€ข Familiarity with cloud infrastructure (AWS preferred), containerization (Docker) and DevOps principles; hands-on experience with CI/CD pipelines

โ€ข Contributed to product testing using automation tools for integration and E2E testing

โ€ข Awareness of how multi-tenant, cloud-based solutions are architected

โ€ข Startup mentality: hands-on, pragmatic, able to shift between backend, frontend and integration work as needed

โ€ข Excellent collaboration and communication skills; able to work closely with colleagues across engineering, product, design and research

โ€ข Comfortable taking the initiative without close supervision; identifying and suggesting solutions to problems and sharing your insights and knowledge across the team

โ€ข Willing to be in Zurich for in-person working days (3 days/week)

โ€ข Fluent in English


We Offer


You will join a high-ambition, low-ego environment where innovation meets the real-world complexity of enterprise marketing. As part of the DuMont Media Group โ€” with roots tracing back to the 17th century and today calling itself a 'startup with over 400 years of tradition' โ€” we combine the speed of a startup with the network and resources of an established group.


We are still at the beginning of our journey, which means you will have significant creative leeway to shape what we do and leave a visible impact from day one. This is also an opportunity to work at the forefront of agentic AI, applying it to a domain where the next paradigm shift is already taking shape.


โ€ข Direct collaboration with world-class AI researchers and experienced industry partners

โ€ข Competitive salary, performance-based incentives

โ€ข Opportunities for professional growth, with direct access to executive mentors, investor networks, and cutting-edge AI research

โ€ข Hybrid work with flexible hours and regular collaboration days in Zurich

โ€ข A cozy office near Europaallee, well embedded in Zurich's tech and AI ecosystem

โ€ข A diverse, international, and collaborative culture that values initiative, openness, and delivering tangible results

โ€ข Team events and game nights โ€” from hiking in the Swiss Alps to table soccer, lunch & learns, and board games

โ€ข English as our default language, plus snackable (Swiss-)German lessons from local colleagues

โ€ข Optional relocation assistance for internationals



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