Join Hire Hangar and work with fast-growing general companies while building a long-term career.Senior AI Platform EngineerLocation RemoteTime Zone US Time Zones (PST - EST)Role OverviewThis role sits at the intersection of AI engineering and platform development.
As a Senior AI Platform Engineer, you will own the contextual intelligence layer that powers our AI agents — ensuring they understand, reason, and act with precision across our SaaS ecosystem.
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.Key ResponsibilitiesDesign and maintain semantic context layers — knowledge graphs, ontologies, and structured context stores — that inform agent behaviourDevelop full stack features that allow users to configure, monitor, and control AI agents through intuitive interfacesIntegrate RPA agents with semantic reasoning capabilities,



enabling context-aware automation at scaleBuild and maintain data platform frontends that provide real-time visibility into agent activity and data flowsWork closely with product and data science teams to translate business requirements into intelligent automation solutionsChampion engineering quality through testing, documentation, and architectural consistencyRequired QualificationsSenior-level full stack engineering experienceDeep understanding of semantic technologies — knowledge graphs, RDF/OWL, ontologies, or entity resolutionHands-on experience building or consuming AI agent frameworksStrong frontend skills with React or similar, including data visualisation libraries such as D3.js or RechartsExperience with Python-based backends and ML service integrationComfort working in fast-moving SaaS product environmentsMust have prior remote work experience and demonstrated ability to collaborate asynchronously across distributed teamsPreferred QualificationsExperience with graph databases such as Neo4j or Amazon NeptuneExposure to NLP pipelines and named entity recognition (NER)Contributions to open-source AI or semantic toolingExperience with enterprise-scale knowledge management systemsTools & TechnologyPython / Node.jsReact / TypeScriptGraph or semantic databases (Neo4j, Amazon Neptune, or similar)LLM APIs and agent orchestration frameworksData visualisation tooling (D3.js, Recharts, or similar)Slack, Zoom, Google WorkspaceWe connect top talent with vetted employers, competitive pay, and real growth opportunities.
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📌 Senior Ai Platform Engineer (Santa Fe)
🏢 Hire Hangar
📍 Santa Fe