Senior AI Knowledge Graph Engineer

Requirements

• Proven experience in developing and deploying to production knowledge graphs in a real business scenario
• Strong hands-on background in developing text-based ML and LLM systems, optimized for production environments
• Strong proficiency in Python, ML / KG frameworks and tools with the ability to select the right tool for the problem at hand
• Ability to apply appropriate graph algorithms and design choices for problem-solving
• Experience with MLOps practices, building production-grade Docker images, and AI solutions for integration into production systems

What You'll Be Doing

• Design, build, and deploy graph-based AI solutions for large-scale unstructured data
• Own data pipelines for knowledge graphs and entity relationships
• Integrate LLMs and ML models into text processing pipelines
• Optimize models and inference pipelines for production constraints
• Drive architectural decisions and technical direction for applied AI and graph intelligence solutions

Perks and Benefits

• Innovation: Celebrate critical thinking and trailblazers
• Growth: Support to grow and contribute to something meaningful
• Team: Building each other up with a focus on teamwork
• Wellness resources, flexible time off, and company-sponsored team events