AI Field Deployment Engineer — Enterprise Workflows (Paris)

Axiōma Search; Paris; Hybride; EUR 90 000 - 120 000; Plein temps

Résumé du poste

Axiōma Search in Paris (hybrid and customer-site) is seeking an engineer to bridge enterprise workflows with frontier AI agents. You will identify high-value workflows, build solutions against real databases, APIs and internal tools, and integrate LLMs into client systems.

You’ll architect and deploy APIs, data pipelines and simple UIs, iterate from user feedback, and collaborate with product, research and engineering to turn deployments into reusable platform input.

Qualifications

• Writing and deploying production code.
• Experience shipping software used by real users.
• Hands-on with LLM integrations, RAG or agentic workflows.
• Fluent in a backend language (Python/Go/Node.js/Java).
• Experience integrating third-party APIs, databases and external systems.
• French and English, with regular customer-site availability in Paris.

Responsabilités

• Identify high-value customer workflows that agents can automate.
• Build working solutions against real databases, APIs and internal tools.
• Integrate LLMs and agentic workflows into existing customer systems.
• Architect and deploy APIs, services, data pipelines and user interfaces.
• Iterate quickly using user feedback and customer team input.
• Turn deployment-specific work into input for the core platform.
• Collaborate with product, research and engineering on priorities.

Connaissances

Backend development

LLM integration

Production code

API integration

Customer-facing

Bilingual (FR/EN)

Formation

Computer science or engineering degree

Outils

Python

Go

Node.js

Java

Description du poste

Axiōma Search in Paris (hybrid and customer-site) is seeking an engineer to bridge enterprise workflows with frontier AI agents. You will identify high-value workflows, build solutions against real databases, APIs and internal tools, and integrate LLMs into client systems.

You’ll architect and deploy APIs, data pipelines and simple UIs, iterate from user feedback, and collaborate with product, research and engineering to turn deployments into reusable platform input.