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AI ML Engineer

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July 30

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Logo of Ampd Energy

Ampd Energy

Energy • Construction • Hardware

Ampd Energy is a company dedicated to providing emission-free power solutions for industrial applications, particularly in environments where traditional diesel power is impractical or undesirable. They have developed the Ampd Enertainer, an advanced battery energy storage system aimed at replacing diesel generators on construction sites. The Enertainer significantly reduces harmful emissions and noise pollution and is easier, safer, and more cost-effective to operate. Ampd Energy's systems are connected and monitored remotely, ensuring reliability and efficiency. Their products are trusted by leading construction and real estate companies worldwide, aligning with the industry's shift toward electrification and sustainability.

51 - 200 employees

⚡ Energy

đź”§ Hardware

đź’° $8M Debt Financing on 2023-03

đź“‹ Description

• Ampd Energy is transforming how cities build - cleaner, smarter, and more sustainably. • We are trailblazers in making the construction industry emission-free. • Join our Software Solutions team to build intelligent conversational AI systems that revolutionize field operations and customer support. • You're focusing on creating RAG-powered knowledge management systems and troubleshooting agents that make operational expertise instantly accessible worldwide.

🎯 Requirements

• 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 • 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

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