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.