Agentic AI Engineer for P2P Finance Workflows

Devleaps; Amsterdam; On-site; EUR 60,000 - 90,000; Full time

Job summary

Devleaps is seeking a medior consultant to join our team and collaborate with a client in the retail and e-commerce space on end-to-end P2P workflows, from Coupa to payment systems, with AI agents handling steps along the way.

You will design, build, and integrate agentic workflows, own the MCP integration layer for Finance, work with Product Owner and data colleagues, and contribute to reliable, secure, and scalable solutions.

Qualifications

• 3–5 years of hands-on full-stack development experience.
• Backend and integration focus with Python and/or TypeScript.
• Hands-on experience with agentic or LLM-based workflows.
• Familiarity with MCP (Model Context Protocol) or ability to learn quickly.
• Experience with REST APIs, authentication, and integrating SaaS platforms.
• Experience in cloud environments and CI/CD pipelines.
• Clear communicator and collaborative team player.

Responsibilities

• Build agentic workflows across the full P2P journey, from Coupa to payment.
• Create MCP servers on top of Finance systems where none exist yet.
• Integrate vendor-provided MCP servers where available.
• Own the MCP integration layer for the Finance domain including reliability and security.
• Build supporting application components, from backend services to front ends.
• Add logging, audit trails, and human-in-the-loop steps for financial workflows.
• Translate user processes into testable workflows with Finance users.

Skills

Full-stack development

Python

TypeScript

Agentic AI

MCP knowledge

REST APIs

Cloud

CI/CD

Communication

Integration

Job description

Devleaps is seeking a medior consultant to join our team and collaborate with a client in the retail and e-commerce space on end-to-end P2P workflows, from Coupa to payment systems, with AI agents handling steps along the way.

You will design, build, and integrate agentic workflows, own the MCP integration layer for Finance, work with Product Owner and data colleagues, and contribute to reliable, secure, and scalable solutions.