Job
- Level
- Experienced
- Location
- Vienna
- Working Model
- Hybrid, Onsite
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you design and develop multi-agent systems on Google Cloud, utilize AI models, implement efficient communication architectures, and optimize their performance for practical applications.
Job Technologies
Your role in the team
- As a Generative AI Engineer, your role is to design and develop multi-agent systems in production quality on Google Cloud.
- You will architect and implement scalable agent networks using the Google Agent Development Kit, the Vertex AI Agent Engine, and leading foundation models such as Gemini and Claude.
- 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 expandable 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 cost.
- Working with Gemini, Claude, and open models via APIs.
- Implementation of advanced Prompt Engineering and System Instruction Design.
- Optimization of model utilization concerning cost, latency, and reliability.
- Development and maintenance of 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 the field of agent system design.
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Our expectations of you
Qualifications
- Strong Python skills and clean software architecture practices.
- In-depth understanding of LLMOps including versioning, evaluation, monitoring, and cost management.
- Comprehensive knowledge of Google Cloud, especially Vertex AI and cloud-native deployment patterns.
- Excellent communication skills in English and German.
Experience
- More than 3 years of experience in Software Engineering, ML Engineering, or Backend Systems.
- Proven experience in building and deploying LLM-based systems in production.
- Practical experience with the Google Agent Development Kit, LangChain, LangGraph, or comparable Agent Frameworks.
- Experience with RAG architectures and vector databases.
- Experience in designing secure and scalable distributed systems.
- Practical experience with Google Cloud authentication, including OAuth 2.0, Service Accounts, and IAM.
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What we offer
- Co-Working - You have access to a space in the best co-working spaces in Düsseldorf, Zurich, Barcelona, or Hamburg.
- Remote 1st - All our processes are designed for decentralized 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 work 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.
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Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
Digitl GmbH
Digitl GmbH, based in Hamburg, is a renowned company specializing in cloud-based marketing technology. It provides digital businesses and agencies with strategic consulting, technical implementation, and operational support in areas such as digital analytics and AdTech. The team consists of consultants and professionals who develop creative solutions for data- and technology-driven marketing environments.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Generative AI Engineer
- Location
- Vienna
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
