Senior AI Engineer

at  Chargelab Inc

COMPANY DETAILS

ChargeLab is the Android of EV charging. We don’t build hardware. Instead, we partner with leading manufacturers like Eaton, ABB, and Siemens to bundle their EV chargers with ChargeLab’s software. Our end customers include building owners, convenience stores, utilities, and fleets. They leverage our charging station management system (CSMS) and open APIs to manage thousands of EV chargers more efficiently.
By 2030, most new vehicles sold in North America will be EVs. ChargeLab has raised US $30 million to build the world’s best software for managing large networks of EV chargers. We currently have 65 full-time employees, including over 40 team members in engineering and product.

QUALIFICATIONS

• Masters or Phd in computer science or related field
• Prior experience in machine learning
• Experience in generative AI
• Strong experience with a programming coding languages including Python
• Strong software development skills, FrontEnd and Backend experience
• Excellent communication, both verbal and written
• Working autonomously while respecting guidelines

ROLE OVERVIEW

The Senior AI Engineer will play a crucial role in advancing ChargeLab’s AI-driven technologies and innovations, collaborating directly with the CTO and the Chief Architect. This position focuses on identifying and tackling valuable and complex problems across engineering, product development, operations, and customer support through the application of AI.
We prioritize meaningful AI applications over trend-following, requiring a candidate who is interested in genuine problem-solving rather than just riding the GenAI wave. You will contribute to the expansion and enhancement of our pioneering AI projects, such as our industry-first OCPP-to-human language bot and anomaly detection for EV chargers.

RESPONSIBILITIES

• Work closely with the CTO to identify opportunities for leveraging AI
• Collect, prepare, and analyze research data
• Search pertinent scientific literature as needed
• Research, Design and implement (mainly Python, Django and React) AI prototypes
• Create training data sets for AI models that will help the models improve
• Train and maintain machine learning models applications such as anomaly detection
• Create and maintain comprehensive technical documentation for their work