Senior AI Engineer

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ChargePoint

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2007

⚡ Energy

🚗 Transport

🏢 Enterprise

💰 $300M Post-IPO Debt on 2022-04

Energy • Transport • Enterprise

ChargePoint is a leading provider in the electric vehicle (EV) charging sector, offering a comprehensive network for charging solutions across North America and Europe. With a focus on sustainability, ChargePoint provides smart charging solutions for businesses, fleets, and residential areas. It offers a unified platform for managing charging operations, enhancing the driver experience with its highly-rated mobile app, and providing robust support services. ChargePoint has established itself as a trusted partner for many Fortune 500 companies, offering a variety of charging hardware, flexible financing, and management tools to ensure efficient operations and reduced costs. The company's mission is to simplify the transition to electric mobility for organizations and drivers alike, contributing to a sustainable future.

📋 Description

• Architect and build LLM‑based applications such as copilots, chatbots, and AI agents • Design and optimize RAG and grounded AI systems using enterprise data • Lead development of agentic workflows with tool/function calling and multi‑step reasoning • Own backend services and APIs for AI inference and orchestration • Drive LLMOps / GenAIOps practices (evaluation, monitoring, CI/CD, versioning) • Optimize AI systems for quality, cost, latency, and reliability • Apply and advocate for Responsible AI and security‑by‑design • Mentor engineers and influence AI engineering best practices • Partner with product, platform, and security teams to shape AI strategy

🎯 Requirements

• 10+ years of professional software engineering experience • Strong development skills in Python; experience with Java, FastAPI, Django, and modern backend frameworks for AI service development • Extensive hands-on experience with LLMs and generative AI systems • Strong experience with RAG, embeddings, Elasticsearch including vector and hybrid search, and prompt engineering • Experience building Copilot-style, conversational, and agent-based AI systems • Strong understanding of distributed systems, APIs, microservices architecture, and event-driven patterns • Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines • Familiarity with LLMOps and MLOps practices • Good to have: Experience with AI governance, compliance, or regulated enterprise environments • Good to have: Experience with vector databases and retrieval optimization • Good to have: Prior ownership of AI systems running in production at scale.

🏖️ Benefits

• We are committed to an inclusive and diverse team. • ChargePoint is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status. • Reasonable accommodations throughout the employment process for persons with disabilities.