Full Stack Engineer

Hire Hangar; United States; Remote; USD 140,000 - 180,000; Full time

Job summary

Hire Hangar seeks a senior full‑stack engineer who can both architect backend automation pipelines and craft polished, data-rich interfaces. You will work across the full stack with AI/ML engineers, product managers, and UX designers to ship automation capabilities that are powerful, reliable, and intuitive.

You will build RPA agent pipelines, surface insights in responsive frontends, and contribute to data platform layers.

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.

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.

Skills

Senior-level full stack development

RESTful API design

Event-driven architecture

Remote collaboration

Tools

Node.js

Python

React

Vue

UiPath

Automation Anywhere

Power Automate

LangChain

AutoGen

CrewAI

dbt

Airflow

Spark

Pinecone

Weaviate

pgvector

Job description

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