Senior AI Engineer
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Monthly Salary:
Posted on:
22 hours ago
Vacancies:
1 Vacancy
Job Summary
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 worlds 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 productiongrade Generative AI systems. You will architect and deliver LLMpowered applications including Copilotstyle experiences AI agents and automation at enterprise scale.
You will operate with high autonomy own complex technical initiatives endtoend 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 LLMbased 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 multistep 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 securitybydesign
- 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
- Experience building production LLM systems with focus on low-latency inference caching strategies and observability
- Strong foundation in distributed systems design microservices architecture and event-driven patterns
- 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; 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
- Experience with vector databases and retrieval optimization
- Prior ownership of AI systems running in production at scale
Location
Remote location in India
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.
If there is a match between your experiences/skills and the Company needs we will contact you directly.
ChargePoint is committed to fostering an inclusive workplace that welcomes and supports all qualified alignment with this commitment we ensure that persons with disabilities are provided with reasonable accommodations throughout the employment process.
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 .
ChargePoint is an equal opportunity employer.
Applicants only - Recruiting agencies do not contact.
Required Experience:
Senior IC
Key Skills
- APIs
- C/C++
- Computer Graphics
- Go
- React
- Redux
- Node.js
- AWS
- Library Services
- Assembly
- GraphQL
- High Voltage
About Company
ChargePoint is the world's largest network of electric vehicle (EV) charging stations in the US, Europe, Australia. Join the EV revolution for a greener tomorrow!
