Senior AI Engineer managing end-to-end infrastructure for AI workflows and tools. Building AI systems with a focus on production-ready solutions in a hybrid work environment.
Responsibilities
Develop and deploy complex AI workflows (advanced RAG, multi-agent systems) integrated with core productivity tools.
Build robust APIs and backends for RAG Pipelines and AI agents.
Design and maintain scalable data pipelines for ETL, ingestion, and data preparation to ground models in high-quality data.
Manage the testing deployment lifecycle, automating and versioning updates.
Orchestrate models on Vertex AI (fine-tuning, serving, monitoring).
Implement AIOps and Agent Observability (tracing, logging, monitoring), while enforcing security for model inputs, outputs, and infrastructure.
Requirements
6+ years of professional software/data engineering experience, including at least 2 years of production-level hands-on experience in AI development/engineering.
Proven experience with advanced RAG use cases, at least one major GenAI framework (e.g., LangChain, LlamaIndex, or Heystack) plus one multi-agent framework (e.g., Langgraph, Google ADK, Vertex AI Agent Builder, or Microsoft Agent Framework).
Hands-on experience with some LLMOps and AI evaluation framework (e.g. GenAI Evals on Vertex, DSPy, RAGAs) as well as high quality vector databases (e.g. Weaviate, Milvus, Qdrant, or Neo4j).
Benefits
Flexible holiday policy for a proper recharge
Commuting allowance
Remote working possibilities in agreement with your team
A MacBook for peak productivity
Training opportunities to develop your skills and grow with us
Healthy communal lunches to keep you fueled
Fun events to connect, recharge, and bond as a team
Phone allowance of up to €25/month (depending on your role)
Unlimited mental health support via OpenUp
A pension plan where you contribute a percentage of your salary
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