Responsibilities

We are looking for a Staff AI Engineer to play a key role in building the core of our AI platform
In this position, you will design and develop production-grade systems that power intelligent automation, agentic workflows, and large-scale retrieval services
This is a highly technical, hands‑on role that involves close collaboration with product and platform teams to transform advanced AI concepts into reliable, scalable, and secure solutions used across our enterprise ecosystem
Design, build, and maintain AI-powered services and APIs, leveraging LLMs (OpenAI, Anthropic, Qwen, OSS models) and custom ML models
Develop an enterprise‑grade agentic framework that enables orchestration, retrieval, and collaboration between multiple AI agents
Implement and optimise knowledge retrieval systems and agentic search capabilities using vector databases such as Qdrant and ElasticSearch
Write well‑structured, efficient, and testable Python code for production services, experimentation, and internal developer tools




Build and maintain shared Python libraries and SDKs used across multiple applications and microservices
Collaborate with cross‑functional teams on architecture, internal protocols, and API standards to ensure consistency and reliability across the platform
Develop and enhance monitoring, validation, and observability for production‑grade AI solutions
Drive the full software development lifecycle – from design and implementation to deployment, monitoring, and continuous improvement
Identify and resolve performance bottlenecks, reliability issues, and scaling challenges in complex, data‑intensive environments
Participate in code reviews and technical discussions, mentoring other engineers and contributing to a culture of excellence
Example Projects – Building an evaluation and observability framework for AI model performance and reliability
Example Projects – Developing an agentic orchestration platform that enables collaboration among multiple AI agents

📌 Staff AI Engineer (Madrid)
🏢 Workato
📍 Madrid