Hire Hangar
Clients
SeniorAIPlatformEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior AI Platform Engineer at Hire Hangar. Skills: AI Platform Engineering, Semantic technologies, Full stack development, Knowledge graphs. Design semantic context layers. Maintain semantic context layers”
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
Senior-level full stack engineering experience, Deep understanding of semantic technologies, Hands-on experience building or consuming AI agent frameworks, frontend skills with React or similar, data visualisation libraries such as D3. js or Recharts, Experience with Python-based backends, ML service integration, Comfort working in fast-moving SaaS product environments, prior remote work experience, demonstrated ability to collaborate asynchronously
Nice to Have
Experience with graph databases, Exposure to NLP pipelines, Exposure to named entity recognition (NER), Contributions to open-source AI or semantic tooling, Experience with enterprise-scale knowledge management systems
What You'll Do.
Design semantic context layers
Maintain semantic context layers
Develop full stack features
Enable context-aware automation
Build data platform frontends
Maintain data platform frontends
Provide real-time visibility
Translate business requirements
Champion engineering quality
How You'll Work.
Team & Collaboration
Product teams; Data science teams; Distributed teams
Full Job Description
Join Hire Hangar and work with fast-growing global companies while building a long-term, remote career. Job Title Senior AI Platform Engineer Location Remote Time Zone Flexible / Aligned to HQ Time Zone Role Overview This 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 Responsibilities - 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 Required Qualifications - 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 fas
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