As a Software Engineer, you join the team responsible for building and maintaining “Gini”, the best AI assistant for geospatial analytics.
Your daily work will include thinking, defining, and implementing technical solutions that will allow Gini to seamlessly interact with our unique and proprietary datasets to answer complex customer queries intelligently and securely.
Building robust RAG pipelines: Designing systems that accurately retrieve data from our massive datasets to provide the LLM with the right context, avoiding hallucinations.
Optimizing for scale and speed: Designing for datasets one order of magnitude higher than most companies.
Picking the right tool for new problems: Running predictions at scale, generating user-time OLAP insights, and integrating cutting-edge AI frameworks into a stable production environment.

At least 4 years experience in a Software Engineer role and a Computer Science or related degree.
A strong interest in, or hands-on experience with, Generative AI, LLMs, and RAG architectures.
Hands-on experience working with architectures that take into account databases and applications using big chunks of data.
Someone who can understand new problems, design technical solutions, and lead the implementation of the project.
An analytical mindset. You are able to split problems into sizable components that are extendable and adaptable to future complications or modifications of the requirements.
Deep experience with SQL and databases. We rely on our databases for a lot of the heavy lifting. If you haven’t used our specific databases before, don’t worry as long as you have a deep understanding of databases.
Mentor skills to help junior software developers on design patterns, development best practices, and DevOps trade-offs.
Fluent in English

Attractive Salary : Up to 52K€
Dynamic Work Environment: Our department is a hub of innovation, testing new technologies and exploring new verticals.
High Impact: The quality of our analyses is recognized by major market players, and our solutions have a significant impact on our clients.
Cross-functional Collaboration: You will be the link between various MyTraffic teams throughout project timelines, ensuring comprehensive and effective solutions.

Mytraffic

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