Engineering Manager - AI Media Processing

Diffusely; Paris; Sur place; EUR 70 000 - 90 000; Plein temps

Résumé du poste

A leading visual production platform in Paris is seeking an Engineering Manager to oversee a team of engineers working on their AI-driven image processing solutions. This role involves hands-on leadership, ensuring code quality, managing backend systems, and collaborating with cross-functional teams to drive innovation in fashion imagery. Ideal candidates have over 5 years in engineering, expertise in Python, and experience with cloud systems.

Qualifications

• 5+ years in engineering and 1+ years in management.
• Hands-on experience with image and video processing.
• Good understanding of industry practices including containers and security.

Responsabilités

• Lead a team of engineers, ensuring effective onboarding and continuous training.
• Take ownership of backend systems and ensure code quality.
• Collaborate with product team to create impactful offerings.

Connaissances

Python expertise

Image manipulation

Linux systems knowledge

Experience with SQL databases

Cloud systems on AWS

Proficiency in CI/CD

Team collaboration

English proficiency

Formation

Bachelor's degree in Computer Science or related field

Outils

OpenCV

Pillow

pyvips

Description du poste

Diffusely is an AI visual production platform for enterprise that redefines how automotive and fashion brands create and optimize visual content. Its AI-powered solutions help over 1,500 clients streamline production, cut costs, and accelerate time-to-market globally.

Autoretouch is our product for Fashion players. We provide brands and marketplaces with an AI solution that helps them create and edit their product images in a few seconds and at scale, all while delivering the best quality on the market.Diffusely / AutoRetouch

Position Overview

Localisation: Paris (France)

Diffusely is looking for an Engineering Manager to join our 12 person Fashion team working on AutoRetouch. In this hands-on leadership role, you’ll oversee two engineers and shape the technical vision, architecture and reliability of the backend infrastructure that powers our image creation and enhancement AI solution. You’ll collaborate with cross-functional teams to translate high fashion standards into robust technical solutions, driving innovation in fashion imagery.

About Us

Our Fashion team is not just innovating, we're reimagining the future of fashion imagery. Our ambitious goal is to fully automate the entire image production process in the fashion eCommerce industry. We want to eliminate the constraints of traditional photoshoots, leveraging the power of AI to bring fashion to life in entirely new ways.

Our Products

• AI Image Enhancement: We use computer vision and generative AI to automate the retouching of photos with advanced segmentation and features like AI-generated shadows. Already in-market, this product is delivering value to our clients by drastically speeding up production workflows.

• AI Image Generation: This is our bold leap into the future of fashion. We are currently developing technology that generates high-quality visuals showcasing real clothes on AI-generated models all without the need for physical photoshoots. Imagine the entire creative process happening in the digital realm with results that are indistinguishable from reality.

Make an Impact

This is more than a job, it's a chance to make a tangible difference in one of the world's most dynamic, visually compelling industries. Join us, and let's redefine what's possible in fashion.

What you'll do

• Team Leadership and Development: Lead 2 engineers, ensuring effective onboarding, continuous training, and performance management. Foster a culture of innovation and collaboration.

• Hands-On System Ownership (Backend): Take full technical ownership of our imaging and media-processing systems from file I/O and metadata handling to the orchestration layer and API design.>

• Code Quality: Promote and ensure the production of clean, efficient, and well-tested code. Mentor team members in adhering to best coding practices.

• Image and File Format Expertise: Maintain and evolve core logic for color management, metadata, and layered file formats. Ensure all our image transformations are accurate, standards-compliant and follow industry best practices.

• Ownership and Management: Own critical components (APIs, pipelines, features), ensuring reliability and integrity. Provide technical support to teams and deliver quick wins without disrupting key projects.

• Delivery & Quality: Ensure timely project delivery with consistent, high-quality outcomes, while maintaining a sustainable workload through effective prioritization, delegation, and time management.

• Workflow and API Development: Contribute to the design and operation of our event-driven workflow engine that coordinates Machine learning inference, traditional Computer Vision algorithms and human workloads.

• Product Creation: Work hand-in-hand with the product team to translate tech potentials into impactful, market-ready offerings.

Qualifications/Skills

• Minimum of 5+ years in engineering and 1+ years in management.

• Expert Python, and hands-on knowledge of Linux (system, networking).

• Hands-on experience manipulating images and video (e.g. segmentation, transforms, masking, compositing).

• Proficiency with image libraries such as OpenCV, Pillow, pyvips or similar

• Experience with SQL databases and queue-based processing.

• Good understanding of industry practices: architectures, protocols, containers, security.

• Experience designing, developing, and operating large-scale cloud systems (we are on AWS) with a strong DevOps or platform engineering mindset and end-to-end ownership.

• Practical knowledge on proper source code management, documentation, test pipelines, and CI/CD.

• Team player with proactive approach and high sensibility for quality.

• English skills on a working proficiency level.

Nice to have

• Background or strong interest in photography, design, imaging or video production.
• Experience with color spaces, ICC profiles, metadata standards, compression, and layered file formats (e.g. Photoshop).
• Experience with, or willingness to learn, other languages such as Java, or Go.

Hiring process

• A first call with a member of our Talent Acquisition Team.

• A video call with our AI Engineering Manager.

• Technical assessment on Python that reflects (Q&A).

• An on-site interview with our CTO and a Product Manager.