Senior AI Platform Engineer
Quick Summary
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.
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…
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…
Join Hire Hangar and work with fast-growing global companies while building a long-term, remote career.
Responsibilities
~1 min read- →
Design and maintain semantic context layers — knowledge graphs, ontologies, and structured context stores — that inform agent behaviour
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Develop full stack features that allow users to configure, monitor, and control AI agents through intuitive interfaces
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Integrate RPA agents with semantic reasoning capabilities, enabling context-aware automation at scale
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Build and maintain data platform frontends that provide real-time visibility into agent activity and data flows
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Work closely with product and data science teams to translate business requirements into intelligent automation solutions
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Champion engineering quality through testing, documentation, and architectural consistency
Requirements
~1 min readSenior-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
Requirements
~1 min readExperience 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
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
Please Note It is crucial that you complete the application form in full. As part of the application process, you will be required to complete a short technical assessment. If your application is successful, you will receive an email confirming next steps. Applications that are not completed in full will not be considered for any open roles.
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Location & Eligibility
Listing Details
- Posted
- May 8, 2026
- First seen
- May 8, 2026
- Last seen
- May 9, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 63%
- Scored at
- May 8, 2026
Signal breakdown
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