AI ML Engineer
About Us: 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
- Experience in industrial/operational environments
Originally posted on Himalayas
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