Senior Full Stack Engineer
About this role
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.
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Originally posted on Himalayas
