Staq is a leading Banking-as-a-Service (BaaS) and embedded finance platform, transforming the way businesses integrate banking and financial services. At Staq, we empower our clients to innovate, expand, and streamline their financial services offerings, leveraging our cutting-edge platform. Our mission is to bridge the gap between traditional banking and the digital era, providing seamless, scalable, and secure financial solutions.

La siguiente información tiene como objetivo proporcionar a los posibles candidatos una mejor comprensión de los requisitos para este puesto.
The Role
We are building the intelligence layer that will power an AI-powered financial assistant and serve as the SDK that other banking applications plug into. The long-term vision is an AI-native bank where every customer interaction, recommendation, and financial operation is orchestrated through this platform. That means the agent runtime, automation engine, recommendation systems, and tool execution framework all need to be built as reusable,



production-grade infrastructure — not one-off features for a single product. The objective is to build, harden, and ship the intelligence platform across multiple products simultaneously. You will be building the systems that make AI actually work in finance: agents that reason about money, automations that run reliably on people’s financial data, recommendations that are genuinely useful, and tool execution that is safe and observable. This is systems engineering meets applied AI.

Key Responsibilities
Agent Runtime & Orchestration

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- Build and maintain production AI agent flows using Python and LangGraph, including multi-step planning, tool selection, and context assembly
- Author and evolve Agent Cards that define agent capabilities, context requirements, and output contracts for each product domain
- Implement the agent-side integration with Temporal workflows — the AGENT_STEP and AGENT_LOOP activity interfaces that the Java orchestrator calls int

📌 AI Engineer (España)
🏢 Staq.io
📍 España