Senior AI Platform Engineer

The role

You will own the contextual intelligence layer that powers AI agents. You will design semantic context layers and develop full stack features to allow users to configure and control AI agents.

What you will do

• Design and maintain semantic context layers including knowledge graphs, ontologies, and structured context stores
• Develop full stack features to configure, monitor, and control AI agents
• Integrate RPA agents with semantic reasoning capabilities
• Build and maintain data platform frontends for real-time visibility into agent activity
• Work with product and data science teams to translate requirements into automation solutions
• Champion engineering quality through testing, documentation, and architectural consistency

Required qualifications

• Senior-level full stack engineering experience
• Deep understanding of semantic technologies such as knowledge graphs, RDF/OWL, ontologies, or entity resolution
• Hands-on experience building or consuming AI agent frameworks
• Strong frontend skills with React or similar, including data visualisation libraries such as D3.js or Recharts
• Experience with Python-based backends and ML service integration
• Comfort working in fast-moving SaaS product environments
• Prior remote work experience
• Demonstrated ability to collaborate asynchronously across distributed teams

Nice to have

• Experience with graph databases such as Neo4j or Amazon Neptune
• Exposure to NLP pipelines and named entity recognition (NER)
• Contributions to open-source AI or semantic tooling
• Experience with enterprise-scale knowledge management systems

Before you apply

• Complete the application form in full
• Complete a short technical assessment

About the company

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