Senior AI Platform Engineer — Semantic Context & Agents

Hire Hangar, Inc.; Argentina; Remote; ARS 257,701,000 - 318,336,000; Full time

Job summary

Hire Hangar, Inc. seeks a Senior AI Platform Engineer to own the contextual intelligence layer powering its AI agents within a SaaS ecosystem. You will design semantic context, integrate AI frameworks, and build frontend surfaces for end users.

As part of a fast-moving team, you will collaborate with product and data science, implement reliable data platforms, and ensure scalable automation across remote teams.

Qualifications

• Senior-level full stack experience.
• Deep understanding of semantic technologies: knowledge graphs, RDF/OWL, ontologies, or entity resolution.
• Hands-on experience with AI agent frameworks.
• Strong frontend skills with React and data visualization libraries (D3.js or Recharts).
• Experience with Python backends and ML service integration.
• Familiarity with fast-moving SaaS product environments.
• Proven remote work experience and ability to collaborate asynchronously.

Responsibilities

• Design and maintain semantic context layers informing agent behavior.
• Develop full stack features for configuring and monitoring AI agents via intuitive interfaces.
• Integrate RPA agents with semantic reasoning for scalable automation.
• Build data platform frontends providing real-time visibility into agent activity.
• Collaborate with product and data science to translate requirements into intelligent automation.
• Champion engineering quality with testing, documentation, and architectural consistency.

Skills

Full stack engineering

Semantic technologies

React

Python

Remote collaboration

SaaS experience

Asynchronous teamwork

Tools

Neo4j

Amazon Neptune

LLM APIs

Agent orchestration

D3.js

Recharts

Job description

Hire Hangar, Inc. seeks a Senior AI Platform Engineer to own the contextual intelligence layer powering its AI agents within a SaaS ecosystem. You will design semantic context, integrate AI frameworks, and build frontend surfaces for end users.

As part of a fast-moving team, you will collaborate with product and data science, implement reliable data platforms, and ensure scalable automation across remote teams.