Clarity AI is looking for a Senior Staff GenAI Platform Engineer (titled "Senior MLE Staff Engineer" on live posting) who is an expert in the deployment and scaling of LLMs and Agentic systems, based in Madrid.

Key Responsibilities

GenAI Platform Engineering: Designing and developing the core platform that enables the efficient deployment, scaling, and management of LLMs and multi-agent systems
Infrastructure for Agents: Building specialized infrastructure to support long-running agentic workflows, including state management, tool-calling interfaces, and complex reasoning loops
Model Serving: Scaling inference to handle global demand while optimizing for latency, throughput, and cost
Golden Path: Establishing self-service path to move code, data, and models to production safely with automated evaluation and CI/CD/CT pipelines
End-to-End Observability: Implementing unified visibility into health, impact, and root cause across data, ML, and GenAI (including model hallucinations, token usage, and RAG performance)
Platform Product Management: Evolving the platform to maintain competitive advantage

Required Skills

3+ years MLOps/AI production engineering experience
Expert Python, Kubernetes, Docker, AWS/GCP
Prompt lifecycle management, LLM abstraction layers, cost controls
Evaluation frameworks (Ragas, DeepEval, G-Eval), LLM-as-a-judge patterns
Orchestration: LangChain, LlamaIndex, CrewAI
Vector databases, inference engines (vLLM, TGI)
Model registry, monitoring, drift detection
API design, microservices, GitOps
C1+ English proficiency

Location: Madrid, Spain (hybrid, CET +/- 2h remote-friendly)

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