Senior Full Stack Engineer

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

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

Please Note It is crucial that you complete the application form in full. As part of the application process, you will be required to complete a short technical assessment. If your application is successful, you will receive an email confirming next steps. Applications that are not completed in full will not be considered for any open roles.

We connect top talent with vetted employers, competitive pay, and real growth opportunities.