Senior AI Platform Engineer

Hirehangar

Cape Town +20 more

Remote

Who this role is best for

Best suited to senior engineers with strong semantic and full stack capabilities working in AI-driven SaaS environments.

Best fit for

Candidates with senior full stack experience and a background in semantic technologies and AI agent frameworks.
— “Senior-level full stack engineering experience”
Individuals who have previously worked remotely and can manage asynchronous collaboration across global teams.
— “Must have prior remote work experience and demonstrated ability to collaborate asynchronously across distributed teams”
Engineers with a track record of building data visualisation tools and real-time dashboards for AI systems.
— “Build and maintain data platform frontends that provide real-time visibility into agent activity and data flows”

Things to consider

The role requires adherence to US time zone schedules despite being a global remote position.
— “Time Zone US Time Zone (PST - EST)”
Candidates must be prepared to complete a technical assessment as part of the application process.
— “you will be required to complete a short technical assessment”

How to stand out

Highlight experience in semantic reasoning and knowledge graphs in your resume and interview responses.
— “Deep understanding of semantic technologies — knowledge graphs, RDF/OWL, ontologies, or entity resolution”
Showcase projects involving AI agent frameworks and real-time data visualisation tools.
— “Develop full stack features that allow users to configure, monitor, and control AI agents through intuitive interfaces”
Emphasize your ability to work in fast-moving SaaS environments and deliver high-quality engineering solutions.
— “Comfort working in fast-moving SaaS product environments”
Demonstrate your capability to integrate RPA with semantic reasoning in your application materials.
— “Integrate RPA agents with semantic reasoning capabilities, enabling context-aware automation at scale”
Include specific examples of working with Python and React in your technical portfolio.
— “Strong frontend skills with React or similar, including data visualisation libraries such as D3.js or Recharts”

Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

Designing and maintaining semantic context layers
Developing full stack features for AI agents

Typical background

Senior-level full stack engineering experienceDeep understanding of semantic technologies

Skills & requirements

Required

Full Stack EngineeringSemantic TechnologiesAI Agent FrameworksData Visualization

Preferred

Graph DatabasesNLP Pipelines

Stack & domain

AI EngineeringPlatform DevelopmentSemantic TechnologiesKnowledge GraphsRdf/owlOntologiesEntity ResolutionReactPythonNode.jsGraph DatabasesLLM ApisAgent Orchestration FrameworksData VisualisationProblem-solvingCommunication & InfluenceAISaas

About the role

Original posting from Hirehangar via Ashby

Join Hire Hangar and work with fast-growing global companies while building a long-term career.
Job Title Senior AI Platform Engineer
Location Remote
Time Zone US Time Zone (PST - EST)
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 fast-moving SaaS product environments
Must have prior remote work experience and demonstrated ability to collaborate asynchronously across distributed teams
Preferred Qualifications
Experience 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
Tools & Technology
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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Source: Hirehangar careers (Ashby)