Ampd Energy is transforming how cities build - cleaner, smarter, and more sustainably. We are trailblazers in making the construction industry emission-free. Our flagship product, the Ampd Enertainer, is an advanced, compact, and connected battery energy storage system (BESS) designed to replace the dirty, noisy, and hazardous diesel generators that power construction sites around the world. By combining connected hardware with advanced software and AI, we reduce emissions, noise, and operational complexity.
We envision an emission-free future across all industries. Our mission is to develop robust, versatile, and easy-to-use products that deliver clean energy - empowering businesses and people to achieve more. We're seeking individuals who bring entrepreneurial drive, adaptability, and enthusiasm, and who thrive in an environment of continuous learning and evolution.
Role Overview:
Join our Software Solutions team to build intelligent conversational AI systems that revolutionize field operations and customer support. You'll focus on creating RAG-powered knowledge management systems and troubleshooting agents that make operational expertise instantly accessible worldwide.
What You’ll Do
Intelligent Knowledge Management: Build comprehensive RAG-based AI agents that 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 and WhatsApp
Example Responsibilities
RAG System Development: Building retrieval-augmented generation systems that turn operational documentation into conversational AI interfaces
Cross-Functional Collaboration: Working 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
Example 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
Excited to work in a startup environment with real operational impact
Preferred Qualifications
Experience with predictive analytics and machine learning modeling
Background in computer vision or satellite imagery processing
Prior work with business intelligence tools and lead generation systems
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