Principal Engineer, AI/ML Systems (Context Services)

Overview

Principal Engineer for Cognite’s Context Services team, owning end-to-end technical architecture for production-grade AI/data services.

What you'll do

• Define the system architecture for Context Services end-to-end.
• Design low-latency APIs/services for thousands of concurrent users with sub-second response times.
• Architect AI/LLM orchestration frameworks including model serving, vector databases, and agentic workflows.
• Lead cross-functional technical strategy to translate ambiguous industrial data problems into scalable execution plans.
• Act as the primary technical liaison with the central Platform engineering team.
• Set engineering standards and mentor Senior and mid-level engineers.

What you'll need

• 10+ years of industry experience in machine learning and software development.
• Strong programming skills in Python, C++, or Java.
• Deep proficiency building high-concurrency, asynchronous applications and REST/gRPC APIs at scale.
• Expertise with PyTorch, TensorFlow, Keras, or Scikit-learn.
• Solid understanding of containerization (Docker) and deployment environments (Kubernetes, cloud platforms).
• Familiarity with MLOps best practices and cloud platforms such as AWS, Azure, or GCP.
• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field (PhD often preferred).

Details

• Location: Bengaluru, India.