Forward Deployed Engineer – AI & Automation (w/m/d), 80-100% Zürich / hybrid
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Job description
Join our innovative team driving AI and automation solutions! Enjoy a flexible work environment and great benefits. Tasks Lead end-to-end delivery from scoping to go-live for AI solutions. Integrate LLMs with core systems, Google Cloud, and APIs efficiently. Establish production-grade AI workflows ensuring compliance and quality. Skills Experience in writing production-ready code using Python, TypeScript, or Java. Strong knowledge of AI, data stacks, and SQL for effective implementations. Proficient in cloud infrastructure, Docker, Kubernetes, and CI/CD pipelines. This job ad was AI-translated from German. See original About the job What you will achieve: End-to-End Delivery: Technical implementation of AI and automation solutions from scoping and prototyping to go-live within the business unit Core & Cloud Integration: Connecting LLMs and agents to core systems (e.g. Syrius), Google Cloud, APIs and Kafka Production-grade AI & Guardrails: Building robust workflows with model evaluation, guardrails and GDPR compliance for business-critical processes Business Unit Sparring: Translating complex business logic into code and enabling squads to independently further develop Pattern & Scaling: Transforming recurring solutions into reusable software components and best practices Why you will succeed: Software Engineering: Several years of experience writing production-ready code (full-stack, ideally with Python, TypeScript or Java) AI & Data Stack: Experience with RAG, LLM orchestration (e.g. LangGraph), SQL and modern interfaces (REST, events) Cloud & DevOps: Confident handling of cloud infrastructure (preferably GCP), Docker, Kubernetes and CI/CD pipelines Ownership Mindset: Pragmatic hands-on drive, enjoyment of rapid prototyping and focus on measurable added value rather than pure theory Communication: Business fluent German and very good English for direct exchange with business units and IT Our advanced working conditions include, among others: Flexible annual working time model with at least 5 weeks holiday Modern offices in urban locations Generous regulations for working from home Contribution to health insurance package Contributions to the pension fund well above the legal minimum Forward-looking issues and a wide range of training and further education opportunities
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