platform engineer

The company builds an advanced SaaS ecosystem powered by intelligent AI agents and context-aware automation solutions.

• Design and maintain semantic context layers, including knowledge graphs, ontologies, and structured context stores that inform agent behavior;
• Develop full stack features that allow users to configure, monitor, and control AI agents through intuitive interfaces;
• Integrate RPA agents with semantic reasoning capabilities to enable 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 like 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 and 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, contributions to open-source AI or semantic tooling, experience with enterprise-scale knowledge management systems.

• No conditions specified