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.

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.

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