<div><h3>About Us</h3><p>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.</p><p>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.</p><p>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.</p><p>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.</p></div><h3>Reports To</h3><p>Director, NOC Delivery &amp; Automation</p><h3>What You Will Be Doing</h3><ul><li>Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.</li><li>You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.</li><li>Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.</li></ul><h3>What You Will Bring to ChargePoint</h3><ul><li>Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development</li><li>Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures</li><li>Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval</li><li>Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems</li><li>Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability</li><li>Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)</li><li>Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines</li><li>Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues</li><li>Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)</li></ul><h3><strong>Requirements</strong></h3><ul><li>8+ years of software engineering experience with 4+ years focused on AI/ML systems in production</li><li>Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution</li><li>Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines</li><li>Background in computer vision, image processing, or visual transformer architectures</li><li>Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)</li><li>Experience working with massive datasets (50TB+) and building scalable data pipelines</li><li>Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications</li><li>Familiarity with RLHF-style preference tuning and model alignment techniques</li><li>Experience with observability and monitoring stacks including metrics, logging, and tracing</li><li>Certifications in Generative AI, Agentic AI, or related specialization.</li></ul><h3><strong>Location</strong></h3><p>Bangalore, India</p><p> </p><div><p>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. </p><p>If there is a match between your experiences/skills and the Company needs, we will contact you directly.</p><div><div><p>ChargePoint is committed to fostering an inclusive workplace that welcomes and supports all qualified individuals. In alignment with this commitment, we ensure that persons with disabilities are provided with reasonable accommodations throughout the employment process.</p><p>If you need a reasonable accommodation to participate in the application or interview process, to perform essential job functions, or to access any other benefits and privileges of employment, please contact us at <strong>accommodations@chargepoint.com</strong>.</p></div><p>ChargePoint is an equal opportunity employer. <br>Applicants only - Recruiting agencies do not contact.</p></div></div>

<p>Driving a Better Way</p>
<p>ChargePoint brings electric vehicle (EV) charging to more people and places than ever before with the world's largest and most open EV charging network. We design, build and support all of the technology that powers this network, from charging station hardware to energy management software to a mobile app. Our work transforms transportation and energy use by helping more people choose to drive electric.</p>
<p>Our charging stations, mobile app and network make it easy to charge EVs anywhere. Our energy management solutions help people and businesses shift away from fossil fuels and manage growing demand for EV charging. And our work with multiple stakeholders, from automakers to individual businesses, paves the way for widespread EV adoption.</p>
<p>Every day we add more drivers and businesses to our network, and driving an EV makes even more sense. And that's what we're all about: driving a better way</p>

Staff AI Engineer

<div><h3>About Us</h3><p>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.</p><p>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.</p><p>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.</p><p>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.</p></div><h3>Reports To</h3><p>Director, NOC Delivery &amp; Automation</p><h3>What You Will Be Doing</h3><ul><li>Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.</li><li>You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.</li><li>Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.</li></ul><h3>What You Will Bring to ChargePoint</h3><ul><li>Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development</li><li>Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures</li><li>Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval</li><li>Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems</li><li>Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability</li><li>Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)</li><li>Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines</li><li>Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues</li><li>Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)</li></ul><h3><strong>Requirements</strong></h3><ul><li>8+ years of software engineering experience with 4+ years focused on AI/ML systems in production</li><li>Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution</li><li>Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines</li><li>Background in computer vision, image processing, or visual transformer architectures</li><li>Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)</li><li>Experience working with massive datasets (50TB+) and building scalable data pipelines</li><li>Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications</li><li>Familiarity with RLHF-style preference tuning and model alignment techniques</li><li>Experience with observability and monitoring stacks including metrics, logging, and tracing</li><li>Certifications in Generative AI, Agentic AI, or related specialization.</li></ul><h3><strong>Location</strong></h3><p>Bangalore, India</p><p> </p><div><p>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. </p><p>If there is a match between your experiences/skills and the Company needs, we will contact you directly.</p><div><div><p>ChargePoint is committed to fostering an inclusive workplace that welcomes and supports all qualified individuals. In alignment with this commitment, we ensure that persons with disabilities are provided with reasonable accommodations throughout the employment process.</p><p>If you need a reasonable accommodation to participate in the application or interview process, to perform essential job functions, or to access any other benefits and privileges of employment, please contact us at <strong>accommodations@chargepoint.com</strong>.</p></div><p>ChargePoint is an equal opportunity employer. <br />Applicants only - Recruiting agencies do not contact.</p></div></div>

Staff AI Engineer

About the Job

About the Company

Charge Point

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