Senior MLE Staff Engineer (GenAI Platform)

Senior MLE Staff Engineer (GenAI Platform)

Clarity AI

Madrid, Spain (Remote/Hybrid, CET +/- 2 hours)

About the Company

Clarity AI, founded in 2017, is a sustainability-focused tech firm with 300+ employees across five global offices. The organization leverages AI to help investors, governments, and companies make informed decisions. Major backers include BlackRock, SoftBank, and Deutsche Borse. The company emphasizes a fact-based, diverse, transparent, meritocratic, and flexible workplace culture.

Key Responsibilities

The role bridges ML experimentation and production by

• GenAI Platform Engineering: Design systems for deploying LLMs and multi-agent solutions
• Agent Infrastructure: Build systems supporting long-running workflows with state management, tool-calling interfaces, and complex reasoning loops
• Model Serving: Scale inference globally while optimizing latency, throughput, and costs
• Deployment Pipeline: Establish self-service pathways with automated evaluation, safety guardrails, CI/CD/CT pipelines, observability for hallucinations and RAG performance, and model registry management
• Strategic Evolution: Monitor AI trends and upgrade platform capabilities continuously
• Observability: Implement unified monitoring across data, ML, and GenAI layers
• Enablement: Provide tools helping data scientists move from models to production services
• Design prompt lifecycle management, LLM abstraction layers, and cost controls

Required Qualifications

• 3+ years MLOps or AI production engineering experience
• Deep hands-on experience deploying LLMs and complex agentic architectures at scale
• Expert-level evaluation frameworks (Ragas, DeepEval, G-Eval) with LLM-as-a-judge patterns
• Expertise in prompt lifecycle management, LLM abstraction layers, cost controls
• Model registry and drift detection understanding
• Expert Python; Kubernetes/Docker mastery
• AWS/GCP cloud infrastructure experience
• Orchestration tools (LangChain, LlamaIndex, CrewAI); vector databases; inference engines (vLLM, TGI)
• API design, microservices, GitOps fundamentals
• C1-level English fluency

Compensation & Benefits

• Competitive base salary plus equity participation
• Flexible scheduling and location options
• Generous PTO including sabbatical options
• Healthcare, wellness programs, home office allowances
• Annual professional development budget
• Global collaborative environment