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Remote role, popular Fullstack title, and metro context drive high applicant competition.
Niche RPA, LLM and semantic-graph requirements make background fit highly domain-specific.
Numerous mandatory technical skills, RPA/LLM experience, and a required technical assessment enforce strict filtering.
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Architect and develop backend RPA agent pipelines integrated into the core SaaS platform.
Build responsive, data-rich front-end interfaces to present automation insights to end users.
Collaborate with AI/ML engineers to integrate language models and decision engines into automation workflows and contribute to data ingestion and API exposure.
Senior-level full stack development experience with Node.js or Python backend and React or Vue frontend.
Proven experience with RPA platforms such as UiPath, Automation Anywhere, or Power Automate.
Familiarity with LLM integration (RAG, tool-calling, prompt engineering) and semantic context layers or knowledge graph systems.
Prior remote work experience with fluency in remote collaboration tools (Slack, Zoom, Google Workspace).
Experienced in building or integrating automation/agentic AI solutions combining backend pipelines and frontend UX.
Comfortable operating in distributed remote teams and collaborating closely with AI/ML engineers, product managers, and designers.
Background or interest in SaaS product environments and cloud-native infrastructure (AWS, Azure, GCP).