On-Site AI Deployment Engineer for Enterprise Workflows

Axiōma Search; Paris; Hybride; EUR 70 000 - 110 000; Plein temps

Résumé du poste

Axiōma Search in Paris invites an Implementation Strategist to close the gap between AI demos and real enterprise deployments. You will embed with one customer at a time, spending roughly two days on-site, while the rest of your time goes into hands-on implementation and integration with our platform.

You’ll architect data pipelines, APIs, and workflows, align with product and engineering, and iterate quickly based on customer feedback.

Qualifications

• Strong computer science or engineering foundation with production code experience.
• Experience shipping software that real users depend on.
• Hands-on experience with LLM integrations, RAG or agentic workflows.
• Fluency in a backend language such as Python, Go, Node.js or Java.
• Experience integrating third-party APIs, databases and external systems.
• Confidence working directly with enterprise customers under short deadlines.
• Working French and English, plus regular availability for customer sites 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 feedback from users and customer teams.
• Turn deployment-specific work into clear input for the core platform.
• Work closely with product, research and engineering on priorities.

Connaissances

Production code

LLM integrations

APIs & databases

Enterprise customers

French & English

Backend languages

Formation

CS/Engineering degree

Description du poste

Axiōma Search in Paris invites an Implementation Strategist to close the gap between AI demos and real enterprise deployments. You will embed with one customer at a time, spending roughly two days on-site, while the rest of your time goes into hands-on implementation and integration with our platform.

You’ll architect data pipelines, APIs, and workflows, align with product and engineering, and iterate quickly based on customer feedback.