Senior AI Engineer

ChargePoint·Remote(India)
Software Development

WFA Digital Insight

The demand for AI and machine learning specialists is on the rise, with the global market expected to reach

90 billion by 2025. As electric vehicles become increasingly popular, companies like ChargePoint are at the forefront of the revolution. With over 10 years of experience in software engineering and a strong background in LLMs and Generative AI systems, you can be part of this exciting movement. ChargePoint is committed to creating a diverse and inclusive team, making this a great opportunity for those looking to make a real impact. Before applying, candidates should be aware that this role requires strong system design and debugging skills, as well as the ability to balance speed, quality, and risk in production AI deployments.

Job Description

About the Role

As a Senior AI Engineer at ChargePoint, you will be responsible for leading the design, development, and operation of production-grade Generative AI systems. You will have the opportunity to work on a wide range of projects, from developing LLM-powered applications to designing and optimizing RAG and grounded AI systems. Your work will have a direct impact on the company's mission to make electric mobility a reality.

The role is based in India and offers the opportunity to work remotely. You will be part of a team that is passionate about creating a sustainable future and is committed to fostering a positive and productive work environment. ChargePoint values diversity and inclusion and is an equal opportunity employer.

What You Will Do

  • Architect and deliver LLM-powered applications, including Copilot-style experiences, AI agents, and automation at enterprise scale
  • 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, including evaluation, monitoring, CI/CD, and 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 We Are Looking For

  • 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

Nice 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

Benefits and Perks

  • Competitive salary and benefits package
  • Opportunity to work remotely from India
  • Collaborative and dynamic work environment
  • Professional development and growth opportunities
  • Access to cutting-edge technologies and tools
  • Recognition and reward for outstanding performance
  • Comprehensive health and wellness programs
  • Flexible working hours and work-life balance

How to Stand Out

  • To stand out in your application, make sure to highlight your experience with LLMs and Generative AI systems, as well as your ability to balance speed, quality, and risk in production AI deployments.
  • Be prepared to discuss your experience with distributed systems, APIs, and microservices, and how you have applied these skills in previous roles.
  • Showcasing your understanding of Responsible AI and security-by-design principles is crucial, so be prepared to provide examples of how you have applied these principles in your work.
  • Having a strong portfolio that demonstrates your skills and experience in AI engineering is essential, so make sure to include relevant projects and achievements.
  • When negotiating salary, be sure to research the market rate for Senior AI Engineers in India and be prepared to make a strong case for your worth.
  • Pay attention to the company culture and values, and be prepared to ask questions about how they support diversity and inclusion in the workplace.
  • Be prepared to discuss your experience with agile development methodologies and how you have applied them in previous roles.

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