[Hiring] Senior AI Engineer @ChargePoint

Role Description

ChargePoint is looking for a Senior GenAI Engineer who will lead the design, development, and operation of production‑grade Generative AI systems. You will architect and deliver LLM‑powered applications, including Copilot‑style experiences, AI agents, and automation at enterprise scale. You will operate with high autonomy, own complex technical initiatives end‑to‑end, and influence GenAI architecture and standards across teams.

As a Senior GenAI Engineer, you will:

• 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

Qualifications

• Proven ability to own ambiguous, complex problem spaces
• Experience influencing architecture and technical direction beyond your immediate team
• Strong system design and debugging skills for distributed AI systems
• Ability to balance speed, quality, and risk in production AI deployments
• Passion for building scalable, maintainable, and responsible AI platforms
• Strong communication skills with engineers, product managers, and leadership

Requirements

• 10+ years of professional software engineering experience
• Strong development skills in Python (required); experience with Java, Go, or TypeScript is a plus
• Deep hands‑on experience with LLMs and Generative AI systems
• Strong experience with RAG, embeddings, vector search, and prompt engineering
• Experience building Copilot‑style or agent‑based AI systems
• Strong understanding of distributed systems, APIs, and microservices
• Experience deploying and operating systems using Docker/Kubernetes
• Experience with Azure, AWS, or GCP
• Familiarity with LLMOps / MLOps practices

Benefits

• We are committed to an inclusive and diverse team.
• ChargePoint is an equal opportunity employer.