Senior Staff GenAI Platform Engineer at Clarity AI

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)