Senior MLE Staff Engineer (GenAI Platform) at Clarity AI

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