Senior MLE Staff Engineer
Clarity AIabout 18 hours ago
Barcelona, SpainSenior / Staff+
Responsibilities
- Design and develop the core platform for deploying and managing LLMs and multi-agent systems.
- Build infrastructure to support long-running agentic workflows.
- Scale inference for LLMs to optimize for latency, throughput, and cost.
- Establish a self-service path for model deployment with automated evaluation frameworks.
- Monitor the AI ecosystem and evolve the platform to maintain a competitive edge.
- Implement deep observability for LLMs to track system health and performance.
- Provide tools for Data Scientists to transition from tuned models to production services.
Requirements
- Deep experience deploying Large Language Models and complex agentic architectures at scale.
- Proven experience in implementing Prompt Lifecycle Management and LLM Abstraction Layer.
- Expert-level experience building automated evaluation pipelines and frameworks.
- A track record of building platforms or shared infrastructure with MLOps concepts.
- 3+ years of experience in MLOps or high-scale Software Engineering focused on AI.
- Expert-level Python skills and experience with container orchestration and cloud infrastructure.
- Proficiency with orchestration libraries, vector databases, and inference engines.
- Ability to learn and implement new technologies rapidly.
- Strong fundamentals in API design, microservices, and automated security compliance.
- Excellent communication skills in English, capable of articulating technical vision.
Benefits
- Competitive compensation with equity plans.
- Flexible working arrangements and location options.
- Generous paid time off schemes including vacation and sabbaticals.
- Meaningful benefits including private healthcare and wellness programs.
- Professional development budget for training and certifications.
- Collaborative environment with global team activities and events.