IT & Automation Intern (Unpaid Student Internship)

About the role

We are looking for a motivated IT & Automation Intern to join our Casablanca team. You will work directly with our German software lead, building AI services, automation workflows, and vector‑database pipelines that power real‑world applications for the EXTRA group.

Key responsibilities

• Design, develop and maintain task‑oriented AI agents with memory and tool integration.
• Create and optimise n8n and Zapier workflows, handling webhooks, retries, error monitoring and logging.
• Implement vector‑database pipelines (ingestion, embedding, indexing, retrieval) using technologies such as pgvector, Chroma, Pinecone or Weaviate.
• Contribute to AI‑driven calling agents, integrating speech‑to‑text, text‑to‑speech and CRM updates.
• Write Python utilities for orchestration, testing and integration.
• Collaborate via Git/GitHub, participate in code reviews and produce clear documentation and unit tests.

Required profile

• Enrolled in Computer Science or a related degree program.
• Basic experience with Python and/or automation platforms (n8n, Zapier).
• Strong curiosity about large language models, prompting and AI safety.
• Fundamental understanding of HTTP/REST, JSON and Git.
• Ability to work independently and deliver structured results.
• Fluent English; French or Arabic (Darija) a plus.

Required skills

• Python programming.
• n8n and Zapier workflow automation.
• LLM platforms (Claude and other providers).
• Vector database technologies (pgvector, Chroma, Pinecone, Weaviate).
• REST API development and JSON handling.
• Version control with Git/GitHub.
• Microsoft 365 collaboration tools (Outlook, Teams, SharePoint).

What we offer

• Paid internship with real product impact and production deployments.
• Mentoring from a German‑led, 7‑developer team.
• Flexible part‑time schedule (15‑20 hrs/week) with hybrid remote option.
• Clear learning objectives on modern AI and automation stacks.
• Potential transition to a working‑student or junior role based on performance.