Full Stack Engineer
US$2,500 – US$7,000 / mth base salary
Posted 5 Sep 2026
Advertised as “Senior Full Stack Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- People management
- Employment
- Remote
- Contract
- Contract
| Base salary | US$2,500 – US$7,000 / mth |
|---|
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
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Architect and develop RPA agent pipelines integrated into our core SaaS platform
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Build responsive, data-rich frontend interfaces that surface automation insights to end users
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Design semantic context layers that give RPA agents the knowledge they need to make intelligent decisions
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Collaborate with AI/ML engineers to integrate language models and decision engines into automation workflows
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Contribute to the data platform layer — ingestion, transformation, and exposure via APIs and UI
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Participate in design reviews, code reviews, and technical roadmap planning
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Mentor mid-level engineers and help define engineering best practices
Required Qualifications
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Senior-level full stack development experience (Node.js or Python backend; React or Vue frontend)
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Proven experience building or integrating RPA solutions (UiPath, Automation Anywhere, Power Automate, or custom agent frameworks)
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Familiarity with LLM integration patterns including RAG, tool-calling, and prompt engineering
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Experience with semantic or knowledge graph layers, ontology-based systems, or structured context stores
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Strong grasp of RESTful and event-driven API design
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Exposure to cloud-native infrastructure (AWS, Azure, or GCP)
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Must have prior remote work experience and be fluent with remote collaboration tools (Slack, Zoom, Google Workspace, or similar)
Preferred Qualifications
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Experience with vector databases such as Pinecone, Weaviate, or pgvector