Software Engineer (AI Platform) — CDI
Location: Paris (Hybrid: 3 days onsite / 2 days remote)
Contract: CDI
Benefits: Swile meal card, hybrid working policy
About Mediterranean Food Lab (MFL)
Mediterranean Food Lab (MFL) is a flavor company on a mission to shape the future of food through science-driven fermentation and culinary creativity. We craft natural flavors made from real foods that deliver authentic deliciousness to every dish.
We are an AI-driven startup building advanced models and software products that accelerate innovation across our R&D pipeline—helping scientists, chefs, and product teams develop better-tasting, more sustainable foods.
Mission
As a Software Engineer (AI Platform), you will build and scale the software foundation powering MFL’s next-generation AI products. You’ll design, develop, and operate backend systems and APIs that connect data, services, and AI capabilities into reliable production tools.
This is a software-first role, with opportunities to collaborate closely with AI/data teams and (optionally) contribute to deep learning-enabled features.
Key Responsibilities
Design, build, and maintain backend services and APIs in TypeScript using Node.js.
Contribute to web-facing components and/or internal tools using JavaScript/TypeScript (framework-agnostic: React, Angular, etc.).
Write occasional Python scripts for automation, data processing, and operational tasks.
Deploy and operate services in a Microsoft Azure environment (app hosting, storage, networking, monitoring).
Build and maintain reliable integrations between services, data stores, and model/inference components.
Contribute to engineering excellence: testing, code review, documentation, performance, and security best practices.
Improve delivery and operations: CI/CD pipelines, observability, and infrastructure automation in collaboration with the team.
Requirements
5+ years of professional software engineering experience (or strong proof of equivalent experience through impactful projects).
Strong proficiency in TypeScript/Node.js and experience building production backend systems and APIs.
Good working knowledge of JavaScript/TypeScript for front-end or internal tooling.
Comfortable writing Python scripts occasionally for automation and data-related tasks.
Hands-on experience operating services in cloud environments; Azure experience is preferred.
Strong engineering habits: testing, maintainability, debugging, and clear communication.
Nice to Have (Advantage)
Interest in working with deep learning (DL) models or prior exposure to DL concepts/tools (e.g., PyTorch/TensorFlow), even at a practical/integration level.
Familiarity with MLOps patterns (model packaging, inference services, monitoring).
Experience with containers and orchestration (Docker; Kubernetes is a plus).
Experience with data pipelines, event-driven architecture, or distributed systems.
Passion for food and the food system is a significant plus
What We Offer
A key role building MFL’s software platform and production systems from the ground up.
An interdisciplinary team combining AI, data, and culinary innovation.
Hybrid work setup in Paris (3 onsite + 2 remote).
Swile meal card.
Excellent healthcare coverage.
Real impact on products that transform how flavors and foods are created.
