AI Agent Engineer Intern (Internship)

Creandum; Paris; Ibrido; EUR 12.000 - 17.000; Tempo pieno

Vantaggi offerti da questo lavoro

6-month internship

Hybrid work

High ownership

International team

AI exposure

Fast-paced environment

25 days leave

Descrizione del lavoro

Creandum is seeking a structured, hands-on AI Agent Engineer Intern in Paris. You will build and maintain conversational AI agents, design flows, and configure integrations with external systems to deliver end-to-end AI solutions for real customers.

You’ll test, debug, and optimize AI agents across production, support deployments with our Forward‑Deployed Engineering team, and collaborate with Product, Engineering, and Customer teams to deliver high-quality AI solutions.

Competenze

• Final-year master’s student in engineering or equivalent
• Strong organizational, communication, and follow-up skills
• Experience collaborating across multiple tools and teams
• Knowledge of SQL, Python, and workflow automation (n8n, ActivePieces, Make)
• Fluent in English and at least one additional language (French, German, Portuguese, etc.)
• Previous exposure to SaaS operations, customer success, or process documentation

Mansioni

• Build and maintain conversational AI agents using our internal platform, designing conversation flows, business logic, and decision trees for real customer use cases
• Configure integrations with external systems and APIs to deliver end-to-end AI solutions and implement automation of workflows using tools such as Activepieces or n8n
• Test, debug, and continuously optimize AI agents before and after production deployments by analyzing real customer conversations
• Support customer deployments by troubleshooting technical issues alongside the Forward-Deployed Engineering team
• Collaborate closely with Product, Engineering, and Customer teams to deliver high-quality AI solutions and reusable deployment components

Conoscenze

SQL

Python

Workflow automation

Formazione

Master's student in Engineering

Strumenti

n8n

ActivePieces

Make

Descrizione del lavoro

The Role

We are looking for a structured, hands‑on AI Agent Engineer Intern to join our team in Paris. This role supports key internal workflows, coordination across teams, and the day‑to‑day delivery of customer projects.

You will work at the intersection of operations, product, and customer delivery, playing a client‑facing role while also owning and maintaining operational and platform documentation. This position offers strong exposure to both internal tools and customer‑facing processes.

What You'll Do

• Build and maintain conversational AI agents using our internal platform, designing conversation flows, business logic, and decision trees for real customer use cases
• Configure integrations with external systems and APIs to deliver end‑to‑end AI solutions and implement automation of workflows using tools such as Activepieces or n8n
• Test, debug, and continuously optimize AI agents before and after production deployments by analyzing real customer conversations
• Support customer deployments by troubleshooting technical issues alongside the Forward‑Deployed Engineering team
• Collaborate closely with Product, Engineering, and Customer teams to deliver high‑quality AI solutions and reusable deployment components

Requirements

• Final‑year Master's student (engineering or equivalent) looking for a hands‑on operational role
• Strong organizational, communication, and follow‑up skills
• Comfortable working across multiple tools and collaborating with different teams
• Knowledge of SQL, Python, and workflow automation (n8n, ActivePieces, Make)
• Fluent in English and at least one additional language (French, German, Portuguese, etc.)
• Previous exposure to SaaS operations, customer success, or process documentation

Benefits

• A 6‑month paid internship with direct impact on daily operations
• Hybrid work setup with a minimum of 4 days/week in our Paris office
• High ownership and autonomy
• Diverse, international team across Europe
• Exposure to cutting‑edge AI, voice, and enterprise deployments
• Fast‑paced environment with strong learning curve
• 25 days holiday + public holidays