Full-Time Staff Engineer, Data Science

Role Overview: Build intelligent conversational AI systems that revolutionize field operations and customer support. Focus on creating RAG-powered knowledge management systems and troubleshooting agents.

• RAG-based AI Agents: Provide instant access to safety procedures, operations manuals, warranty information, maintenance logs, and troubleshooting guidance.
• Conversational AI Development: Create LLM-powered customer support agents for alarm diagnosis, KB article generation, and real-time troubleshooting assistance.
• Document Processing & Automation: Extract structured data from logs, field reports, and operational documents using OCR and document processing pipelines, then integrate into automated workflows via N8N.
• Building retrieval-augmented generation systems: Turn operational documentation into conversational AI interfaces.
• Cross-Functional Collaboration: Work with field operations and customer success teams to understand knowledge management needs and build practical solutions.
• Automation Infrastructure: Developing workflow automation for maintenance scheduling, notifications, and customer communications.

Who You Are:

• AI-First Mindset. Deep interest in LLMs, RAG systems, and conversational AI applications
• Problem-Solving Focus. Comfortable translating complex operational needs into AI-powered solutions
• Collaborative & Autonomous. Able to work independently while partnering closely with non-technical stakeholders
• Growth-Oriented. Eager to expand your skillset in a fast-paced startup environment.

Experience: 3+ years as a technical contributor working with LLMs, RAG systems, or conversational AI.

• Strong Python skills with experience in LangChain, OpenAI APIs, or similar LLM frameworks.
• Experience with document processing, text extraction, and knowledge base development.
• Familiarity with workflow automation tools and API integrations.

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