How you’ll demonstrate Ownership

We are looking for a visionary Principal Full Stack Engineer to join the Atlas AI team. Your work will be central to scaling out AI capabilities throughout our entire product suite, integrating intelligent agents into Cognite's core offerings. You'll help guide the architecture and development of the applications and services that bring these agents to life. 

 

The Impact you bring to Cognite

• Shape the architecture by guiding the long-term technical vision for the Atlas AI platform and influencing key decisions that define its future
• Build a world-class user experience by creating intuitive interfaces that transform complex industrial knowledge into clear and actionable visuals
• Evaluate and implement AI by testing and benchmarking Large Language Models to choose the best tools for solving industrial challenges
• Mentor and elevate the team by supporting both senior and junior engineers and fostering a culture of excellence, innovation, and growth
• Champion best practices by driving high standards in code quality, testing, deployment, and operations in a multi-cloud environment

 

Required Qualifications

• You have a mastery of computer science fundamentals and a proven track record of designing and building complex, scalable, and resilient systems.
• You possess authoritative expertise in our primary frontend stack: TypeScript and React. While experience with frameworks like Angular or Vue is valuable, deep React knowledge is key.
• You have extensive, hands-on experience with backend languages, particularly Python, which powers much of our backend. Experience with other languages like Kotlin, Java, or Rust is a significant plus.
• You have deep, practical experience designing and operating large-scale systems in a multi-cloud environment (AWS, GCP, and Azure) using technologies like Kubernetes.
• You have a profound interest in applied AI, including working with multiple LLMs, and are excited to build products that leverage the latest advancements in the field.
• You have a proven history of mentoring engineers and leading large, impactful technical projects.
• You excel at communicating complex technical ideas to diverse audiences and thrive in a collaborative, English-speaking environment.

 

Preferred Experience

• Experience building applications on top of AI/ML models or large language models (LLMs).
• Knowledge of GraphQL or graph databases.
• A demonstrated history of presenting at conferences or meetups.
• Prior experience in industrial software, IoT, or large-scale data visualization.