Senior Full Stack Engineer – AI Systems

Hire Hangar, Inc.; Colombia; Remote; COP 388,400,000 - 582,600,000; Full time

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

Join Hire Hangar and work with fast-growing global companies while building a long-term career.

Job Title: Senior Full Stack Engineer - AI Systems

Location: Remote

Time Zone: Flexible / Aligned to HQ Time Zone

Role Overview

We are scaling our agentic AI capabilities and are looking for a Senior Full Stack Engineer to help us build the systems that power autonomous, context-aware agents across our platform. This is a high-impact, high-ownership role for an engineer who wants to shape how intelligent automation is experienced by thousands of enterprise users. You will work at the frontier of agentic AI - designing agents that can reason, plan, and act - while also building the full stack infrastructure and interfaces that bring those capabilities to life in a production SaaS environment. If you are energised by complex systems, semantic reasoning, and the challenge of making AI reliable at scale, this role is built for you.

Key Responsibilities

• Develop full stack features supporting the deployment, monitoring, and management of AI agents within our SaaS platform
• Build and extend the RPA agent layer - designing agents that reason, adapt, and operate reliably in production
• Implement and iterate on semantic context mechanisms that equip agents with structured, domain-relevant knowledge
• Create intuitive frontend interfaces that give users visibility and control over agent behaviour and outcomes
• Integrate with third-party AI services, LLM APIs, and enterprise data sources
• Work in a cross-functional squad alongside product managers, ML engineers, and UX designers
• Help define technical standards and patterns for agentic system development across the engineering organisation

Required Qualifications

• Senior-level full stack engineering experience with a strong track record of delivery in complex systems
• Strong experience with agentic AI systems - including tool-use, memory, planning, and multi-agent coordination
• Practical knowledge of RPA concepts and automation workflow design
• Familiarity with semantic context patterns and how to structure and surface knowledge for AI consumption
• Proficiency across both backend (Python or Node.js) and frontend (React / TypeScript)
• Demonstrated ability to lead technically within a collaborative, cross-functional team
• Must have prior remote work experience and be comfortable working autonomously within a distributed engineering team

Preferred Qualifications

• Experience with orchestration frameworks such as LangGraph, AutoGen, or CrewAI
• Exposure to enterprise integration patterns including event-driven architecture
• Background shipping features in a B2B SaaS environment
• Familiarity with vector databases and embedding-based retrieval systems

Tools & Technology

• Python / Node.js
• React / TypeScript
• Agentic frameworks (LangChain, LangGraph, AutoGen, CrewAI, or similar)
• LLM APIs (OpenAI, Anthropic, or similar)
• RPA platforms and automation tooling
• Slack, Zoom, Google Workspace