About Digitl: Digitl is a young and innovative company in marketing and cloud technology. In a collaborative and cross-functional environment, we develop new concepts to guide our customers from various industries into a digitally shaped future. Become part of it and contribute your own fresh and forward-looking ideas as a Generative AI Engineer to help shape Digitl's further development together.
Responsibilities:
•Design and implementation of production-ready multi-agent systems with clearly defined strategies for planning, routing, memory and tool integration
•Design of robust communication architectures between agents and development of modular components for extensible multi-agent systems
•Implementation of structured outputs, schema validation and function calling
•Definition of guardrails, fallback strategies and mechanisms to mitigate hallucinations
•Design of evaluation pipelines for quality, latency and costs
•Work with Gemini, Claude and open models via APIs
•Implementation of advanced prompt engineering and system instruction design
•Optimization of model usage in terms of costs, latency and reliability
•Building and maintaining RAG pipelines using vector databases
•Implementation of observability, tracing and monitoring for LLM-based systems
•Architectural design of cloud-native AI systems on Google Cloud
•Use of Vertex AI, Agent Engine, Model Garden and related services
•Deployment of services using Vertex AI Agent Engine, Cloud Run, GKE or serverless architectures
•Implementation of CI/CD pipelines and infrastructure as code
•Ensuring a secure architecture with IAM, service accounts and data governance
•Close collaboration with the Cloud, Ad Technology and Digital Analytics teams
•Creation of technical documentation as well as internal training and knowledge materials
•Leading technical workshops and mentoring engineers in agent system design
Requirements:
•More than 3 years of experience in software engineering, ML engineering or backend systems
•Proven experience building and deploying LLM-based systems in production
•Hands-on experience with the Google Agent Development Kit, LangChain, LangGraph or comparable agent frameworks
•Strong Python skills and sound software architecture practices
•In-depth understanding of LLMOps, including versioning, evaluation, monitoring and cost control
•Experience with RAG architectures and vector databases
•Comprehensive knowledge of Google Cloud, especially Vertex AI and cloud-native deployment patterns
•Experience designing secure and scalable distributed systems
•Hands-on experience with Google Cloud authentication, including OAuth 2.0, service accounts and IAM
•Excellent communication skills in English and German
Conditions:
•Co-working – You have access to a spot in the best co-working spaces in Düsseldorf, Zurich, Barcelona or Hamburg
•Remote first – All our processes are designed for remote work. You decide whether you prefer to work from home or spend your day in one of our offices
•Home office equipment – We provide you with a standard setup for your remote working environment
•Animal lovers – If you have a dog, you can bring it to any of our offices
•Skill building – As a highly specialized technology partner, we support your development with certifications, conference attendance and training
