SOFTWARE ENGINEER INTERN

STATION F

Paris

Hybride

EUR 13 000 - 18 000

Temps partiel

14 jours+

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Avantages offerts par ce poste

Competitive Salary
Work from Station F
Flexible working hours
Swile
50% Navigo reimbursement

Résumé du poste

Ewake in Paris is seeking a Software Engineer Intern to work directly with the founding team on the core product, building and shipping agent features to production from day one. You will contribute to a fast-moving startup focused on AI-native software reliability, shipping code that engineers rely on in critical systems.

You will prototype AI behaviors, test rigorously, and own what you ship, collaborating with CTO and engineers.

Qualifications

  • Hands-on experience with AI agents and LLMs, including agent frameworks and tool calling.
  • Thrives in fast-paced environments where speed matters.
  • Comfortable working with a modern technology stack.
  • Uses AI coding tools as a default practice, not a novelty.
  • Takes ownership of what you ship and iterates quickly.

Responsabilités

  • Build and ship features end to end across the agent pipeline.
  • Prototype and iterate on AI-powered agent behaviors and tool integrations.
  • Ship AI-native capabilities using Claude Code and Cursor.
  • Own what you ship: test, monitor, and fix issues in production.

Connaissances

AI agents
LLMs
Agent frameworks
Tool calling
LLM pipelines
Ownership
Fast-paced environment
Modern stack
AI coding tools

Formation

Master's degree

Outils

Claude Code
Cursor
Tool integrations

Description du poste

TL;DR

Ewake is a 10-person team based in Paris. Everyone ships to production, including interns.

Job Description

We’re building Agentic platform for software reliability. Helping engineers understand and resolve incidents faster. We’re looking for a Software Engineer Intern to work directly with the founding team on the core product : building and shipping agent features to production. If you ship fast, build AI-native, and want your code running inside critical systems, this role is for you.

Your Role (What You'll Actually Do)

You will work directly with the founding team and ship to production from day one:

  • Build and ship features end to end across the agent pipeline.
  • Prototype and iterate on LLM-powered agent behaviors, prompts, and tool integrations
  • Build AI-native: Claude Code, Cursor, and whatever makes you faster
  • Own what you ship: test it, monitor it, fix it when it breaks. you’ll ship code that helps democratize software reliability
How We Work
  • Small team. High ownership.
  • Ideas move fast.
  • Everyone ships.
  • Curiosity > hierarchy.
  • We value output, velocity, and learning speed.
Preferred Experience
Who You Are
You'll Likely Thrive Here If You
  • Have hands‑on experience with AI agents and LLMs — side projects, hackathons, internships: agent frameworks, tool calling, LLM pipelines (this one's required)
  • Thrive in fast‑paced environments where you can move quickly
  • Are comfortable in a modern stack
  • Build with AI coding tools as a default, not a novelty
  • Take ownership and move things forward
Bonus Points
Experience In
  • Infrastructure, observability, or reliability
  • Developer tools
  • Open‑source contributions
  • Production systems (even small ones)
Recruitment Process
Why Join Ewake?
  • Work directly with the CTO and founding engineers
  • Ship code that runs in real production systems
  • Deep exposure to AI agents and developer tools
  • See how an AI‑native startup is built from the inside
Benefits
  • Competitive Salary
  • Work from Station F
  • Flexible working hours
  • Swile
  • 50% Navigo reimbursement
Interview Process

Intro call with Business Operations

Practical exercise — show us something you've built (or build something small with us)

Call with CTO/Founding Engineer

Welcome drink after? Probably.

If you ship fast, love agents, and want to build a product from day one, let's talk.

Additional Information
  • Contract Type: Internship (Between 6 and 6 months)
  • Start Date: 01 October 2026
  • Location: Paris
  • Education Level: Master's Degree
  • Experience: Possible partial remote
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