Hire Hangar
Senior AI Platform Engineer
Remote work allowed only within certain countries or regions.
Employer listed it 3 weeks ago · Added yesterday
Been open since 3 weeks ago, still being checked, but it has been live a while.
Salary
$2,500 to $4,000 per month
Location
Work style
Async
Contract
Contract
Experience
Senior
Category
Software
Published by the employer
Remote flexibility
Region Restricted
Remote work is allowed, but only for candidates based in Ecuador, Ukraine, Mexico, Egypt, South Africa, Colombia, Chile, Uruguay, Peru, Dominican Republic, Jamaica, Argentina, Panama, Honduras, Poland.
What the employer says
- Source listing states candidate location: "Nicaragua - Managua, Parugauy - Asuncion, Ecuador - Guayaquil, Ukraine - Kharkiv, Mexico - Monterrey, Egypt - Cairo, South Africa - Johannesburg, Columbia - Bogotá, Belize - Belize City, Columbia - Medellín, Chile - Santiago, Uruguay - Montevideo, Peru - Lima, Dominican Republic - Santo Domingo, Jamaica - Kingston, Argentina - Buenos Aires, Panama - Panama City, Honduras - Tegucigalpa, South Africa - Cape Town, Poland - Warsaw, Mexico - Mexico City, Remote"
What Nomaders makes of it
- Applications outside the listed area are usually rejected
- Timezone overlap with the listed area is often expected
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
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)
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
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, region restricted, matches where you plan to live and work.
- 2Tailor your CV to the role at Hire Hangar, mentioning your remote working experience and working hours (Async).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 1d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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