Senior Backend Engineer

At enliteAI, we’re proud to offer innovative AI-based software applications that meet the needs and wants of our customers. Detekt, one of our products, is a modern Geospatial Data Platform for object and damage detection in Mobile Mapping data which had its product launch in April 2022.

We are seeking an experienced and enthusiastic Backend Engineer to work as part of our product development team for Detekt, a Geospatial Data Platform applying large scale computer vision to Mobile Mapping data.

• Manage and mature the interfaces to our machine learning pipelines and make these processing workflows available to end-customers via a GraphQL-based automatization API.
• Own end-customer facing REST APIs providing geospatially referenced detection results to frontend applications (Fast API, Flask).
• Deploy and maintain applications in production environments (on-premises and in the cloud)
• Design and specify API interfaces, data models and database schemes.
• Make valuable contributions to our internal products, along the entire development lifecycle from design to deployment and operations

• 3+ years of industry experience, ideally in data-driven environments
• Profound data engineering knowledge (including PostgreSQL, S3)
• Excellent Python programming skills, backend related technologies (e.g. Fast API, Flask, Postgres, SQLalchemy, Alembic) and scientific Python libraries (Pandas, Numpy)
• Used to mature workflows in software development (Git, issue management, documentation, unit testing, CI/CD)
• Operations skills (Linux, Docker, Kubernetes, Cloud computing)
• Motivated problem solver who derives satisfaction from both coding and exploring innovative solutions
• Fluent in English both spoken and in written language.
• Valid work permit for Austria

• International product and innovation-driven team with rich expertise in Computer Vision and Reinforcement Learning as well as distributed training, data engineering, ML ops and cloud architectures
• Working with the latest technologies at the interface between research and industry (enliteAI is an ELISE EU research network Organizing Node)
• Personal growth: Receive continuous training and education opportunities. Budget and time allotment for the pursuit of individual R&D projects, training or conference participations.
• Flexible work models: Remote work, an office in Vienna's 1st district and minimal core hours