Cognite is seeking to solve the problem of optimizing and automating industrial business processes by developing services and applications for industrial AI, specifically leveraging LLMs, RAG, and contextualized knowledge graphs through their Atlas AI platform. The goal is to make industrial data interaction intuitive, effortless, and empowering, thereby impacting industrial efficiency and sustainability.
Requirements
- Expertise relevant to our tech stack. Kubernetes systems in a multi-cloud environment (Azure, AWS, GCP), frontend TypeScript and React, backend Python.
- Understanding of software engineering and best practices for the full development life cycle including coding standards, build processes, testing, and operations.
- Understanding of generative AI and/or machine learning, and familiarity with the tools and methodologies around them, for instance for measuring accuracy.
- Experience building applications on top of AI/ML models or large language models (LLMs).
Responsibilities
- Develop services, applications, and AI agents and tools to enable industrial software customers to unlock the value of their operational data, and automate complex workflows.
- Drive the team to build, operate, and support production-grade SaaS software, including establishing on-call rotations, defining service level objectives (SLOs), and ensuring a fast and effective incident response process.
- Champion a culture of quality by establishing automated code coverage goals, implementing comprehensive telemetry and monitoring for all services, and developing robust testing strategies to ensure the reliability and scalability of our industrial AI solutions.
- Coach engineers to have a high impact on the team, regardless of their background, seniority, or understanding of the domain.
- Collaborate with a cross-functional team consisting of designers, product managers and program managers to ensure the team builds the right product, that is of excellent quality and is delivered on time.
- Collaborate with industrial domain experts to deeply understand pain points, unmet needs, and opportunities to enhance operational efficiency through AI and data liberation.
- Help your team with code reviews and documentation, and write code yourself.
Other
- Lead a team of 5-10 software engineers.
- Customer-focused Software Engineering Manager
- Proven track record of leading technology teams
- Deep understanding of SaaS software
- Passion for driving innovation
- Strong verbal and written communication skills.
- A genuine and keen interest in building the competency of engineers.
