AI Agent Orchestration Architect

Edflex

Paris

Hybride

EUR 80 000 - 110 000

Plein temps

14 jours+

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Avantages offerts par ce poste

International work in multiple cities
Health insurance
Meal vouchers
Remote work 2 days / week
Career growth opportunities
EcoVadis Silver

Résumé du poste

Edflex is seeking an AI Agent Orchestration Specialist to translate business needs into automated, multi‑agent workflows across our platforms. You will design and ship AI agents, integrate them with HubSpot, Planhat, Slack, and internal APIs, and ensure robust monitoring and guardrails.

Join a fast‑growing team focused on AI-driven transformation in a global edtech environment. Ideal candidates have 3–5 years in AI automation within B2B SaaS, with hands‑on experience in LLMs, prompt engineering

Qualifications

  • 3–5 years of professional experience in AI automation within a B2B SaaS environment.
  • Solid experience with AI orchestration frameworks and LLMs.
  • Hands-on knowledge of REST APIs and integration patterns.

Responsabilités

  • Prioritise and deploy AI use cases; design, prototype and ship AI agents and workflows.
  • Integrate agents across the Edflex ecosystem with HubSpot, Planhat, Slack and internal APIs.
  • Architect multi-agent pipelines combining curation, recommendation and analytics agents.
  • Define human-in-the-loop patterns and ensure output quality in production.
  • Collaborate with teams to translate business needs into agent instructions and train staff.

Connaissances

AI orchestration
LLM expertise
REST APIs
Python/TypeScript
Automation tools
Prompt engineering
B2B SaaS

Outils

HubSpot
Planhat
Slack
Make
n8n

Description du poste

Edflex is seeking an AI Agent Orchestration Specialist to translate business needs into automated, multi‑agent workflows across our platforms. You will design and ship AI agents, integrate them with HubSpot, Planhat, Slack, and internal APIs, and ensure robust monitoring and guardrails.

Join a fast‑growing team focused on AI-driven transformation in a global edtech environment. Ideal candidates have 3–5 years in AI automation within B2B SaaS, with hands‑on experience in LLMs, prompt engineering

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