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
Role Overview : Join our Software Solutions team building the dashboard that powers the future of construction. Youll help site owners monitor multi-OEM fleets, track emissions, and take real-time action - all through clean design and modern data infrastructure. What Youll Do Backend API Development : Build and maintain scalable backend APIs using Node.js and NestJS Data Pipeline Design : Design data pipelines and real-time features using Kafka and MQTT Frontend Development : Develop frontend components using Vue.js Infrastructure & Deployment : Ensure quality with Docker, and Terraform deployments on AWS ECS End-to-end Ownership : Own features end-to-end with close collaboration across teams Example Responsibilities: Full-Stack Feature Development : Building product features across backend, frontend, and real-time messaging systems Collaborative Problem Solving : Working with domain experts to shape telemetry insights into user-facing tools Platform Contribution : Contributing to the shared platform layer for all internal AI and data systems Who You Are Builders Mindset : A builders mindset with comfort working across the stack Comfort with Ambiguity : Excited by ambiguous, cross-functional challenges Self-Motivated and Collaborative : Able to dive deep, but surface quickly Curiosity & Craftsmanship : Curious about new tools and passionate about clean, scalable engineering Example Experience: Full-Stack Engineering Background : 5+ years in full-stack development (Node.js, NestJS, Vue.js) Streaming Protocols : Experience with MQTT, Kafka, or similar streaming protocols Cloud & DevOps Skills : Strong cloud infrastructure knowledge (Docker, Terraform, AWS ECS) Preferred Qualifications Domain-Experience : Experience with telemetry data, carbon tracking, or energy systems Startup Agility : Startup experience or a desire to thrive in a fast-paced environment
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 team to design and build the user experience that powers the future of construction. You'll create intuitive interfaces for site owners to monitor multi-OEM fleets, track emissions, and take real-time action - combining user-centered design with modern frontend development to bring clean energy insights to life. What You’ll Do Design & User Experience: Design and refine intuitive user interfaces and experiences for our fleet monitoring dashboard using Figma, from wireframes to high-fidelity mockups. Conduct user research and usability testing to inform decisions, while maintaining a cohesive design system and component library. Frontend Development: Develop responsive and accessible frontend components in Vue.js , implementing designs with pixel-perfect accuracy using modern CSS. Integrate with backend APIs and real-time data while optimizing performance and ensuring cross-browser compatibility. Collaboration & Strategy: Collaborate with product managers, engineers, and domain experts to translate complex telemetry data into intuitive user interfaces. Actively contribute to product strategy through design critiques and cross-functional input. Who You Are Design-Driven: Passionate about creating beautiful, functional user experiences Technical Craft: Comfortable bridging design and development with clean, maintainable code User-Focused: Excited by complex user problems and data-heavy interfaces Collaborative: Thrives in cross-functional teams and values diverse perspectives Impact Oriented: Motivated by creating tools that drive real environmental change Preferred Qualifications Design + Development Background: 4+ years combining UX/UI design with frontend development Modern Frontend Skills: Strong proficiency in Vue.js, HTML5, CSS3, and JavaScript Design Tool Expertise: Advanced skills in Figma, with experience in design systems Data Visualization: Experience designing interfaces for complex data and analytics Domain Experience: Background in B2B SaaS, IoT dashboards, or energy/sustainability tools Advanced Frontend: Experience with build tools, testing frameworks, and performance optimization Research Skills: User research, usability testing, and data-driven design experience Startup Agility: Startup experience or desire to thrive in a fast-paced environment
About Ampd Energy 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 mission to revolutionize renewable energy through cutting-edge Battery Energy Storage Systems (BESS). As a Senior Machine Learning Engineer, youll lead the development of predictive maintenance models to enhance the reliability and efficiency of our BESS solutions. You’ll be the go-to ML expert on our engineering team, driving innovation by designing algorithms that predict component failures, optimize system performance, and driving the deployment of them. Your work will directly impact the scalability and sustainability of clean energy infrastructure worldwide and help ensure our latest innovations usher us into the future. Responsibilities Develop, deploy, and monitor models: Build, launch, and correct predictive, anomaly detection, and time series models that help identify component failure, time to failure, and risks in BESS operations using high-frequency sensor data, historical trends, geographical information, and more. Collaborate with data engineers: Identify and help scale necessary data pipelines, both real-time and batch, to facilitate the usage of information for model development and utilization. Partner with the platform team: Collaborate on the integration of the models in production to work with both edge devices (e.g., IoT systems) and cloud-based inference systems. Establish robust monitoring: for model performance, including drift detection, degradation, and continuous improvement strategies. Failure prediction : Launch a predictive model that will help customers determine when components within the systems need to be replaced and track if the model has degraded. Cross-Functional Collaboration : Working with field operations and customer success teams to understand knowledge management needs and build practical solutions Cost savings detection : Create cost optimization model that can help consumers manage energy utilization cycles to best run their business. Qualifications 5+ years proven expertise in applied ML engineering, with experience deploying customer-facing models to production Strong Python skills with experience in core packages such as NumPy, Pandas, Scikit, XGBoost, TensorFlow, Faust, or similar ML, Deep Learning, and Analytics packages Experience going from zero to one in predictive, time-series, and anomaly detection models Experience with coordinating disparate data sources and driving ETL requirements Excited to work in a startup environment with real operational impact Preferred Qualifications Knowledge of battery or energy storage systems and their degradation patterns (preferred but not required). Experience deploying ML models on edge devices (e.g., AWS IoT Greengrass, Azure IoT Edge, or similar). Familiarity with streaming data platforms (e.g., Kafka, Apache Spark Streaming, or equivalent). What We Offer Impactful Work: Contribute to the future of clean energy by improving the reliability of next-generation BESS technology. Innovative Environment: Work with cutting-edge ML tools and collaborate with a passionate, cross-functional team. Growth Opportunities: Access to professional development, mentorship, and opportunities to lead high-impact projects. Flexible Culture: Enjoy a hybrid work model, competitive benefits, and a supportive team environment.