Who Are We?
Safran. AI (formerly Preligens) specializes in advanced artificial intelligence solutions designed for analyzing high-resolution satellite imagery, full motion video (FMV) streams, and acoustic signals. Our innovative tools are deployed across the aerospace, defense, and governmental sectors.
Since 2016, the company has been at the forefront of developing complex algorithms and software that automate the analysis, detection, and identification of military-relevant objects using both commercial and governmental data sources.
As a part of the Safran group since September 2024,
Safran. AI is also instrumental in transforming the group by applying AI solutions to Industry 4.0 domains. For instance, automated image analysis can assist inspectors in identifying potential anomalies in critical components from digital photographs.
At Safran. AI, innovation and the pursuit of a safer world are embedded in our culture. Joining our team means collaborating with passionate, multi-disciplinary experts (engineers, researchers, developers) who are driven by a shared commitment to technological excellence. We foster a stimulating work environment where creativity and initiative are encouraged, and every idea is valued.
Your Mission, Should You Choose to Accept It
As a Full Stack Developer, you will be instrumental in the design and ongoing development of our product and infrastructure, primarily utilizing Python, PostgreSQL, and other cutting-edge technologies.
→ Design, develop, and maintain our back-end infrastructure and automated pipelines.
→ Create, maintain, and evolve user interfaces (JS/CSS) for partner plugins.
→ Collaborate with the team on specifications, testing, and technical best practices.
→ Work closely with all teams and subject matter experts to understand end-user needs.
→ Ensure high code quality for our frameworks by applying best practices and mentoring others.
Technology Stack:
Our development teams primarily use Python for back-end development and JavaScript (React) for front-end solutions. We also leverage Docker for deployment and SQL/PostgreSQL for database management.