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Hire Hangar via Ashby

Senior AI Platform Engineer

UkraineParaguayEcuadorEgyptColombiaBelizeChileUruguayPeruDominican RepublicJamaicaArgentinaPanamaHondurasPolandSouth AfricaMexico $2,500–4,000/mo senior
still open verified 3d ago posted 72d ago seen just now
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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 3d 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.

Check this listing's status as JSON

How old is it?

Posted 72d ago

The date the source published, not the day we noticed it (2026-08-21). Last seen at its source just now.

We have tracked this listing since 3 Sep 2026 (59 days). The employer's own board has carried it every time we have read it, most recently 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?

Ukraine, Paraguay, Ecuador, Egypt, Colombia, Belize, Chile, Uruguay, Peru, Dominican Republic, Jamaica, Argentina, Panama, Honduras, Poland, South Africa, Mexico

The description states no restriction of its own. This is the source's own tag.

Pay

$2,500–4,000/mo

Published by the source in its own salary field. Shown in the posting's own currency and period; we never convert.

Skills named in the ad

AI AgentsGoogle WorkspaceKnowledge ManagementLLMNLPNode.jsPlatform EngineeringPythonReactTypeScript

Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.

Carried by 1 source

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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