AI Agent Orchestration Architect

Edflex; Paris; Híbrido; EUR 80 000 - 110 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

International work in multiple cities

Health insurance

Meal vouchers

Remote work 2 days / week

Career growth opportunities

EcoVadis Silver

Resumo da oferta

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

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

AI orchestration

LLM expertise

REST APIs

Python/TypeScript

Automation tools

Prompt engineering

B2B SaaS

Ferramentas

HubSpot

Planhat

Slack

Make

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Descrição da oferta de emprego

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