Senior Full Stack Engineer — AI Agents (Remote)

Hire Hangar, Inc.

Colombia

Remote

COP 388,400,000 - 582,600,000

Full time

14 days+
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Job summary

Hire Hangar, Inc. is seeking a Senior Full Stack Engineer to advance agentic AI systems in a production SaaS environment. You will design and build full stack capabilities for autonomous agents, with an emphasis on reasoning, planning, and reliable operation across enterprise-scale deployments.

You will collaborate with product, ML, and design teams in a distributed setup, contributing technically across backend and frontend layers while shaping engineering standards and best practices.

Qualifications

  • Senior-level full stack engineering experience with delivery in complex systems.
  • Experience with agentic AI systems including tool-use, memory, planning, and multi-agent coordination.
  • Familiarity with semantic context patterns for AI knowledge surface.

Responsibilities

  • Develop full stack features for deployment, monitoring, and management of AI agents in the SaaS platform.
  • Build and extend the RPA agent layer for production reliability.
  • Implement semantic context mechanisms for structured knowledge.
  • Create frontend interfaces for visibility and control of agent behavior.
  • Integrate with third-party AI services, LLM APIs, and enterprise data sources.
  • Collaborate with product managers, ML engineers, and UX designers.
  • Help define technical standards for agentic system development.

Skills

Full stack engineering
Agentic AI systems
Remote work experience
Technical leadership

Tools

Python
Node.js
React
TypeScript
LangChain/LangGraph/AutoGen
LLM APIs (OpenAI/Anthropic)
RPA tooling
Slack/Zoom/Google Workspace

Job description

Hire Hangar, Inc. is seeking a Senior Full Stack Engineer to advance agentic AI systems in a production SaaS environment. You will design and build full stack capabilities for autonomous agents, with an emphasis on reasoning, planning, and reliable operation across enterprise-scale deployments.

You will collaborate with product, ML, and design teams in a distributed setup, contributing technically across backend and frontend layers while shaping engineering standards and best practices.

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