Stage Développeur·euse IA - LLM, RAG & Whisper

Datelia
Paris, France
19 days ago

Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
€ 18K

Job location

Remote
Paris, France

Tech stack

Artificial Intelligence
Google BigQuery
Software as a Service
Cloud Database
Continuous Integration
Python
Systems Integration
Google Cloud Platform
Large Language Models
Prompt Engineering
Backend
Angular
Front End Software Development

Job description

Full-Stack Developer Intern (Python / Angular / GCP / LLM) Datelia · Paris · End-of-studies internship · 6 months, We're looking for an intern who wants to get their hands on everything: backend, frontend, infra, AI. You'll work directly with the tech team on the production platform - not on an isolated side project.

Depending on your interests and where things stand, you'll contribute to:

  • Product features on both backend (Python) and frontend (Angular)
  • Integrating new models through our LiteLLM routing layer (OpenAI, Anthropic, Mistral, Vertex AI)
  • RAG and agentic workflows with LlamaIndex
  • GCP infrastructure (Cloud Run, Cloud SQL, Pub/Sub, BigQuery, Vertex AI)
  • Observability, testing, and CI/CD
  • Prototyping new AI features

You won't do all of this in six months - but you'll touch several layers of the stack and understand how a real SaaS platform holds together, with real customers depending on it.

Requirements

  • Final year of engineering school or equivalent master's, with a specialization in IT, data, or AI
  • Comfortable in Python; ideally some exposure to Angular
  • Curious about LLMs and the engineering around them: RAG, agents, evaluation, prompt engineering
  • Prior exposure to GCP or another cloud is a plus

On the mindset side - what actually matters to us:

  • Genuine customer focus. Behind every line of code, there are users who need to get value from it. We don't ship for the sake of shipping.
  • A taste for doing things well. Clean, tested, documented code. Better to finish one thing properly than to rush three features out the door.
  • Good listening. You take the time to understand a requirement, a piece of customer feedback, or a colleague's comment before jumping to a solution.
  • Eagerness to learn. This space moves fast - we're all learning constantly. We'll give you time and resources for that.
  • Curiosity about the why. You want to understand why a technical decision was made, not just execute a ticket.
  • Autonomy with good judgment. You can work independently and know when to ask for help.

Benefits & conditions

A personal project, a GitHub repo, an open-source contribution, or a side project will speak louder than a formatted cover letter. If you've built something with an LLM - even something small - show us.

Type d'emploi : Stage Durée du contrat : 6 mois

Rémunération : 1 500,00€ par mois

Question(s) de présélection:

  • Quelle expérience avez-vous sur les LLM ?

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