About Zenline AI
Zenline is moving one of the largest industries in the world into the AI-first era. We ****build AI agents that find the perfect assortment for every retailer to compete against Amazon & Temu.
Our team combines experience from BCG, Amazon, ETH, and Cambridge and we’re backed by Seedcamp, one of Europe’s leading early-stage funds.
The industrial and e-commerce revolutions did already happen. The AI revolution is unfolding now. You can either watch it from the sidelines or be one of the people who built it at Zenline.
The Role...
This is a full-time, on-site role in Zurich for an exceptional engineer who wants to build the infrastructure behind real production AI systems.
As a Founding Engineer focused on AI Infrastructure, you will own and improve the systems that power Zenline's agentic workflows, data pipelines, scraping infrastructure, and reusable tools. Our Forward Deployed Engineers work directly with retailers to build workflows that solve concrete business problems. Your job is to make sure the underlying platform is robust, extensible, observable, and maintainable as those workflows and pipelines scale across customers.
You will work across backend systems, agent orchestration, data infrastructure, efficient data processing, workflow execution, observability, testing, deployment reliability, and the product surfaces needed to help teams build, debug, and operate AI systems in production.
What You’ll Do
- Build and evolve our agentic workflow platform: Improve the infrastructure that lets teams compose reusable tools, custom logic, data-fetching steps, LLM calls, evaluations, and business-specific workflows into reliable production agents.
- Build high-quality AI infrastructure: Implement reusable agent components, workflow tools, data-processing primitives, and platform integrations that help Forward Deployed Engineers ship workflows quickly without creating fragile one-off systems.
- Scale data and scraping pipelines: Make our data-fetching, scraping, enrichment, and processing pipelines faster, more reliable, and easier to run smoothly in production.
- Design efficient data infrastructure: Work on systems that process large retail datasets efficiently, keep data flows understandable, and give AI agents access to the right context at the right time.
- Work closely with Forward Deployed Engineers: Understand the workflows being built for customers, identify repeated patterns, and turn them into durable platform capabilities that make the whole team faster.
- Move between product and platform: Improve the workflow builder itself, harden backend and data infrastructure, refactor agent execution logic, improve developer ergonomics, and help turn customer-specific workflows into reusable systems.
We are looking for...
You are a strong technical generalist with a deep interest in AI agents, data infrastructure, platform engineering, and production-quality software systems. You enjoy building the layer that allows others to move faster without the product becoming fragile, while still caring about useful workflows for both Forward Deployed Engineers and end users.
- Experience: 2-4 years building high-quality software systems, ideally across backend, infrastructure, data-intensive systems, agent platforms, or workflow-heavy products.
- Agentic AI expertise: Proven experience building LLM-powered applications, agent workflows, tool-calling systems, or workflow orchestration systems.
- Data infrastructure knowledge: Experience designing or improving data pipelines, scraping systems, ETL workflows, batch jobs, or other systems that process data efficiently and reliably.