Software Engineer, AI

About

Ewake builds an AI reliability teammate that:

  • 🔍 Investigates production issues

  • 🧩 Reasons over messy signals (logs, alerts, code, metrics)

  • 💡 Explains why something is happening

  • ⚡ Helps engineers act faster — with confidence

We’re at the beginning of a foundational shift in how engineers interact with production systems.

This isn’t “AI for productivity hacks.”

This is AI inside high-stakes environments.

We value:

  • 🚀 Ownership

  • 🧠 Intellectual honesty

  • ⚔️ Strong opinions, weak egos

  • 🏗 Building over talking

Job Description

Build AI agents, engineers actually trust.

📍 Paris — Hybrid (Station F)

🛠️ Team: Small. Technical. Opinionated.

⚡ TL;DR

We’re building AI agents for production reliability.

Not demo bots.

Not slideware.

Real agents reasoning over real production data.

We’re looking for an exceptional software engineer with strong AI experience to help define how AI behaves inside critical systems.

If you like building hard things, shipping fast, and seeing your work used when things are on fire 🔥 — keep reading.

🤖 What We’re Building

  • AI agents that:

    • Connect to observability, code, and communication tools
    • Run reasoning loops with memory + tool use
    • Generate hypotheses → validate them → suggest actions
    • Learn from feedback
    • Improve over time

    This runs against real production data.

    Trust, reliability, and failure modes matter.

    🛠 Your Role (What You’ll Actually Do)

    From day one, you’ll:

    • 🧱 Design and ship agentic AI systems (reasoning loops, memory, evals, guardrails)
    • 📊 Work with real logs, alerts, infra noise (yes, the fun stuff)
    • 🔬 Turn weak signals into useful, trustworthy insights
    • 🧯 Debug weird edge cases when models hallucinate or pipelines break
    • 👥 Work directly with founders + real users
    • 🔁 Own features end-to-end (idea → production → feedback loop)

    This is not a research-only role.

    This is a build it, ship it, improve it role.

Preferred Experience

🎯 Who You Are

You’ll probably thrive here if you:

  • Have 5+ years building real production systems

  • Have worked hands-on with LLMs and know they’re imperfect

  • Care deeply about correctness and failure modes

  • Are comfortable with ambiguity and rough edges

  • Take ownership from idea to deployment

  • Have product taste — you know when “good enough” is enough

  • Like small teams where your decisions actually matter

Bonus points if you’ve touched:

  • 🧠 Agentic systems / RAG / tool-calling

  • 📏 Evals, guardrails, rollback strategies

  • 🔧 Infra, SRE, or production systems

  • 🌱 Early-stage startups

    🧭 How We Work

    • Small team. High ownership.
    • Strong debates. No ego battles.
    • Fast feedback from real users.
    • No “throw it over the wall.”
    • Learning speed > perfection.
    • Truth > hype.

    You’ll work closely with founders who are engineers and ex-SREs — and with teams actually using Ewake in production.

Recruitment Process

💎 Why Join Ewake?

  • Shape the core product from scratch

  • Work on problems that matter during real incidents

  • See your code used in live production environments

  • Help define how AI should behave in critical systems

  • Competitive pay + meaningful early-stage upside

This is for builders with taste and ambition.

**
🎁 Perks**

  • 💰 Competitive salary

  • 🏢 Flexible hybrid setup

  • 🏥 Healthcare

  • 🏋️ Gymlib

  • 🍽 Swile

🧩 Interview Process

  1. 👋 Intro call with the CEO

  2. 💻 Deep technical session with a Founding Engineer

  3. 🏗 System & design discussion with the engineering team

  4. 🤝 Culture & vision fit

Welcome drink after? 🍺 Yes.

If you want to build AI that engineers rely on when things are on fire —

let’s talk. 🔥

Additional Information

  • Contract Type: Full-Time
  • Location: Paris
  • Experience: > 5 years
  • Possible partial remote
Apply Now

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