Faced with the obsolescence of skills, the Edflex teams have been committed since 2016 to supporting companies in their transformation by developing the skills of their employees.
We put all our energy into delivering exceptional content curation, centralising the best training resources from the web and our publisher partners on a single platform.
Our strength? Offering our clients and their learners content that is constantly updated, varied in formats and languages, and covering more than 230 topics to foster continuous learning.
To support our growth, we are looking for curious profiles, passionate about challenges and determined to revolutionise the world of corporate training 🚀. Our culture values innovation, proactivity and performance; our values encourage a taste for challenge, mutual support, transparent communication and the pursuit of knowledge.
As part of a newly created role, we are looking for someone passionate about AI, automation and business transformation, to contribute with us to the development of Edflex.
⏳ Start date: ASAP !
As AI Agent Orchestration Specialist, your main objective will be to orchestrate Edflex's AI agents — translating the needs of our business teams (CSM, Learning, Tech & Product, Sales, Support) into automated, multi-agent workflows — and drive measurable impact across the organisation.
💙 Your main responsibilities will be...
On a day-to-day basis, your main responsibilities will include (non-exhaustive list!):
Prioritise and deploy AI use cases — from our AI tracker (ARR/productivity impact), you will design, prototype and ship AI agents: internal automations, client-facing agents, and AI-assisted workflows.
Integrate agents across the Edflex ecosystem — connect agents with HubSpot, Planhat, Slack, our SaaS platform and internal APIs to create seamless, end-to-end automation.
Architect multi-agent workflows — build pipelines combining e.g. a curation agent, a recommendation agent, and an analytics agent; set up guardrails, monitoring and audit logging.
Define human-in-the-loop patterns for critical decisions and ensure the consistency and quality of agent outputs in production.
Work hand-in-hand with every team to turn business expertise into agent instructions; train and upskill colleagues on AI-augmented ways of working.
Measure and communicate business impact — time saved, leads generated, client satisfaction improvements, churn reduction.
Define quality, security and compliance standards for agents (GDPR, client data) and own the performance monitoring framework (accuracy, latency, API costs).
Lead active tech watch and propose/arbitrate the agent roadmap in collaboration with the COO and CTO.
For this role, you will work in close collaboration with the COO, CTO, and all business teams (CSM, Learning, Sales, Tech & Product, Support).
