Senior Full Stack Engineer

Hire Hangar, Inc.; Argentina; A distancia; ARS 181.906.000 - 242.542.000; Jornada completa

Descripción de la vacante

Hire Hangar, Inc. is seeking a Senior Full Stack Engineer to own end-to-end platform work, from backend automation pipelines to polished frontend interfaces.

You will collaborate with AI/ML engineers, PMs, and UX designers to ship reliable automation features that are powerful and intuitive. The role requires expertise in Node.js or Python, React or Vue, and experience with RPA solutions and LLM integration patterns.

Formación

• Senior-level full stack development experience with Node.js or Python backend and React or Vue frontend.
• Proven experience building or integrating RPA solutions (UiPath, Automation Anywhere, Power Automate, or custom agents).
• Familiarity with LLM integration patterns including RAG, tool-calling, and prompt engineering.
• Experience with semantic or knowledge graph layers, ontology-based systems, or structured context stores.
• Strong RESTful and event-driven API design; cloud-native infrastructure exposure (AWS/Azure/GCP).
• Proficient with remote collaboration tools; prior remote work experience.

Responsabilidades

• Architect and develop RPA agent pipelines integrated into our core SaaS platform.
• Build responsive, data-rich frontend interfaces that surface automation insights to end users.
• Design semantic context layers for RPA agents to make intelligent decisions.
• Collaborate with AI/ML engineers to integrate language models and decision engines.
• Contribute to the data platform layer — ingestion, transformation, and API/UI exposure.
• Participate in design reviews, code reviews, and roadmap planning; mentor mid-level engineers.

Conocimientos

Full stack

RPA experience

LLM integration

Knowledge graphs

API design

Cloud platforms

Remote work tools

Vector DBs

Agent frameworks

Data pipelines

B2B SaaS

Herramientas

Python

Node.js

React

TypeScript

UiPath

Power Automate

LangChain

AutoGen

CrewAI

dbt

Airflow

Spark

AWS

Azure

GCP

Pgvector

Weaviate

Pinecone

Slack

Zoom

Google Workspace

Descripción del empleo

Job Title

Senior Full Stack Engineer

Location

Remote

Time Zone

US Time Zones (PST - EST)

Role Overview

This is a high-ownership role for an engineer who is equally comfortable architecting backend automation pipelines and crafting polished, data-rich interfaces. You will work across the full stack, collaborating closely with AI/ML engineers, product managers, and UX designers to ship automation capabilities that are powerful, reliable, and intuitive to use.

Key Responsibilities

• Architect and develop RPA agent pipelines integrated into our core SaaS platform
• Build responsive, data-rich frontend interfaces that surface automation insights to end users
• Design semantic context layers that give RPA agents the knowledge they need to make intelligent decisions
• Collaborate with AI/ML engineers to integrate language models and decision engines into automation workflows
• Contribute to the data platform layer — ingestion, transformation, and exposure via APIs and UI
• Participate in design reviews, code reviews, and technical roadmap planning
• Mentor mid-level engineers and help define engineering best practices

Required Qualifications

• Senior-level full stack development experience (Node.js or Python backend; React or Vue frontend)
• Proven experience building or integrating RPA solutions (UiPath, Automation Anywhere, Power Automate, or custom agent frameworks)
• Familiarity with LLM integration patterns including RAG, tool-calling, and prompt engineering
• Experience with semantic or knowledge graph layers, ontology-based systems, or structured context stores
• Strong grasp of RESTful and event-driven API design
• Exposure to cloud-native infrastructure (AWS, Azure, or GCP)
• Must have prior remote work experience and be fluent with remote collaboration tools (Slack, Zoom, Google Workspace, or similar)

Preferred Qualifications

• Experience with vector databases such as Pinecone, Weaviate, or pgvector
• Background in agentic AI frameworks such as LangChain, AutoGen, or CrewAI
• Familiarity with data pipeline tooling including dbt, Airflow, or Spark
• Experience working in a B2B SaaS product environment

Tools & Technology

• Python / Node.js
• React / TypeScript
• RPA platforms (UiPath, Power Automate, or similar)
• Cloud platforms (AWS, Azure, or GCP)
• Vector or graph databases
• Slack, Zoom, Google Workspace