AI Engineer Job in Paris or Remote France – Windmill Hiring Now

📍 Location: eu

🏷 Type: Not specified

Job Intelligence

📍 More in this location:
Browse AI jobs in eu

🏷 Similar roles:

🌐 Explore all jobs:
View all AI job listings

Job Overview

This role targets a Mid-Level (2–5 years) engineer focused on LLM systems, agent architecture, and developer platforms. You will join Windmill, an open-source workflow platform, to build an end-to-end AI agent system that converts natural language into production-ready apps and workflows. The ideal candidate combines strong CS fundamentals with hands-on experience shipping LLM-powered products, and thrives in a fast-moving, high-ownership startup environment.

🌍 Work Eligibility & Location

This opportunity is accessible to candidates already authorized to work in France. The company supports Hybrid work in Paris (~3 days/week) or Remote within France. While globally relevant, hiring is geographically constrained, making local availability critical for consideration.

💰 Salary Intelligence

The compensation is highly competitive for the French market, especially for a Mid-Level AI engineering role. The addition of a 20% performance bonus tied to collective milestones increases upside. Given the startup’s profitability and strong product-market fit, this package aligns with top-tier early-stage European startups.

📊 Role Breakdown

This role is heavily execution-focused with a strong research-engineering blend. Approximately 40% of your time will be spent designing and improving agent loops, including planning, tool usage, self-correction, and retrieval pipelines. Another 25% focuses on evaluation systems, where you will build benchmarking harnesses, define task corpora, and track regression metrics across model iterations. Around 20% is dedicated to product integration and developer experience, ensuring seamless UI flows, editor integrations, and feedback systems. The remaining 15% involves prompt engineering and model experimentation, including testing GPT, Claude, Gemini, and open-weight models, and applying fine-tuning or reinforcement learning where impactful. The core objective is to ship production-grade AI systems that developers actively use and trust.

🧩 Required Skills & Fit

📈 Difficulty & Competitiveness

This is a high-difficulty role due to its expectation of real-world LLM system deployment, not just experimentation. Candidates must demonstrate production experience and a strong empirical mindset. The combination of agent design, evaluation rigor, and full-stack integration significantly narrows the qualified candidate pool, increasing competition among top-tier engineers.

🚀 Career Impact

This role offers strong career acceleration by positioning you at the intersection of AI agents, developer tools, and infrastructure. You will gain hands-on exposure to cutting-edge LLM systems and ship features used by thousands of developers. This experience compounds into future opportunities in AI platform engineering, founding roles, or research engineering.

📋 Key Responsibilities

You will design and implement agent pipelines that transform natural language into functional applications. This includes improving planning systems, enhancing tool integration, and building self-correcting workflows. You will develop evaluation frameworks to benchmark performance and detect regressions across model updates. Additionally, you will integrate AI systems into product interfaces, ensuring high-quality developer experience through UI flows and feedback loops. Expect to experiment with frontier models like GPT, Claude, and Gemini, and apply fine-tuning techniques. All work is production-facing, requiring you to deploy, monitor, and iterate on live systems continuously.

🎯 Application Strategy

🧠 Application Optimization (Adaptive)

This section is personalized by seniority.

How to use: Paste into ChatGPT, Claude, or Gemini

🧠 Fit & Positioning Analysis

Evaluate your match before applying.

📅 Application Signals

This role shows high urgency with a streamlined hiring process including a paid trial project. The presence of a direct founder interview indicates strong intent to hire quickly. Expect intense competition from engineers with real LLM deployment experience, particularly those with open-source contributions or visible projects.

🔗 Apply for this Job

Apply on Company Site

✅ Job Source & Verification

This job originates from a high-credibility source within the Y Combinator startup ecosystem, ensuring legitimacy and relevance. The listing reflects current hiring needs from an active, profitable company. Last updated: April 2026, indicating that the role is actively open and applications are being reviewed.