Senior AI Platform Engineer

You will work at the cutting edge of how structured knowledge is used to make AI agents smarter and more reliable. This is a role for an engineer who thinks deeply about context, meaning, and how machines can be equipped to make better decisions - and who can also build the frontend surfaces that make those capabilities accessible to end users., * Design and maintain semantic context layers - knowledge graphs, ontologies, and structured context stores - that inform agent behaviour

• Develop full stack features that allow users to configure, monitor, and control AI agents through intuitive interfaces
• Integrate RPA agents with semantic reasoning capabilities, enabling context-aware automation at scale
• Build and maintain data platform frontends that provide real-time visibility into agent activity and data flows
• Work closely with product and data science teams to translate business requirements into intelligent automation solutions
• Champion engineering quality through testing, documentation, and architectural consistency

• Senior-level full stack engineering experience
• Deep understanding of semantic technologies - 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
• Must have prior remote work experience and demonstrated ability to collaborate asynchronously across distributed teams

Preferred Qualifications

• 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

Tools & Technology

• Python / Node.js
• React / TypeScript
• Graph or semantic databases (Neo4j, Amazon Neptune, or similar)
• LLM APIs and agent orchestration frameworks
• Data visualisation tooling (D3.js, Recharts, or similar)
• Slack, Zoom, Google Workspace