Senior AI Engineer
Chargepoint
About the role
About Us
With electric vehicles expected to be nearly 30% of new vehicle sales by 2025 and more than 50% by 2040, electric mobility is becoming a reality. ChargePoint (NYSE: CHPT) is at the center of this revolution, powering one of the world’s leading EV charging networks and a comprehensive set of hardware, software and mobile solutions for every charging need across North America and Europe. We bring together drivers, businesses, automakers, policymakers, utilities and other stakeholders to make e-mobility a global reality.
Since our founding in 2007, ChargePoint has focused solely on making the transition to electric easy for businesses, fleets and drivers. ChargePoint offers a once-in-a-lifetime opportunity to create an all-electric future and a trillion-dollar market.
At ChargePoint, we foster a positive and productive work environment by committing to live our values of Be Courageous, Charge Together, Love our Customers, Operate with Openness, and Relentlessly Pursue Awesome. These values guide how we show up every day, align, and work together to build a brighter future for all of us.
Join the team that is building the EV charging industry and make your mark on how people and goods will get everywhere they need to go, in any context, for generations to come.
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.
Reports To
Senior Manager-Information Security
What You Will Be Doing
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
What You Will Bring to ChargePoint
Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
Exp