Senior Software Engineer - ( Context Services )

Cross-Functional Problem Solving: Collaborate closely with product, architecture, and AI teams to translate complex industrial data problems into scalable solutions.

AI & LLM Orchestration: Architect frameworks for model serving, vector databases, and agentic workflows (LLM agents), ensuring reliable state management and prompt tracking.

Platform Integration: Act as the technical liaison with the central Platform team, leveraging core infrastructure to build reliable AI pipelines and workflows.

Innovation: Drive technical innovation through research, prototyping, and potential contributions to open-source initiatives.

Qualifications & Skills:

Experience: 6–10 years of industry experience in Software Engineering, Backend Engineering, or Systems Engineering, with exposure to AI, ML, or LLM-based production systems.

Programming: Strong proficiency in Python and experience building high-concurrency applications, asynchronous programming, or REST/gRPC APIs.

Systems: Solid understanding of containerization (Docker) and modern deployment environments (such as Kubernetes or cloud platforms).

AI Knowledge: Familiarity with the broader AI lifecycle—including traditional model registries, vector databases, or LLM evaluation frameworks—is a major plus, but a strong ability to learn new paradigms is essential.

Impact 2025

Cognite's Industrial AI: Moonshot

We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.