Senior AI Platform Engineer
Core
Design and maintain semantic context layers (knowledge graphs, ontologies) that power AI agents to reason and act within a SaaS ecosystem, while building frontend interfaces for agent configuration and monitoring.
Role type
Senior full-stack AI platform engineer
Builds
Semantic context layers, full-stack agent configuration interfaces, and data platform frontends for real-time agent visibility
Domain
SaaS, AI agents, semantic technologies
Deliverable
production ML models | product features
Required skills
Full-stack engineering, semantic technologies (knowledge graphs, RDF/OWL, ontologies), AI agent frameworks, React frontend development, Python backend development, data visualization
Preferred skills
Graph databases (Neo4j, Amazon Neptune), NLP pipelines, named entity recognition (NER), enterprise-scale knowledge management systems
Technologies
Python, Node.js, React, TypeScript, Neo4j, Amazon Neptune, LLM APIs, D3.js, Recharts
Responsibilities
Design and maintain semantic context layers; Develop full stack features for agent configuration and monitoring; Integrate RPA agents with semantic reasoning; Build data platform frontends for real-time visibility; Collaborate with product and data science teams; Champion engineering quality through testing and documentation
