Senior AI Platform Engineer

Role Summary

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.

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

Requirements

• 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.

We connect top talent with vetted employers, competitive pay, and real growth opportunities.

About the Company

Meaningful Engagement: Move beyond a script-driven call center approach—truly connect with clients, understand their needs, and help them access the right resources.

Flexible Work Style: Benefit from a part-time structure that allows for personal flexibility while still meeting crucial response times.

Ongoing Training: Learn in-demand tools.

Team Culture: Collaborate with a supportive group that values curiosity, empathy, and genuine care for client outcomes.

To Apply

Please send your resume or CV. We look forward to hearing from you!

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.

We connect top talent with vetted employers, competitive pay, and real growth opportunities.