Senior AI Platform Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 24d ago
The date the source published, not the day we noticed it (2026-08-21). Last seen at its source just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Nicaragua, Ecuador, Ukraine, Mexico, Egypt, South Africa, Bogota, Belize, Chile, Uruguay, Peru, Dominican Republic, Jamaica, Argentina, Panama, Honduras, Poland
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $4,100–6,938/mo
Middle 50% of 14 listings that do state pay — Engineering · all levels · Mexico · USD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
ashby employer's own board first seen 11d ago · last seen just now
- posted 2026-09-05
The listing
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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