Experience:

• 8+ years of software engineering experience
• 4+ years focused on AI/ML systems in production

Qualification:

• Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
• Certifications in Generative AI, Agentic AI, or related specialization

Responsibilities:

• Lead development of AI solutions across Voice AI, Computer Vision, and Conversational AI
• Architect and build production-grade AI systems for monitoring and analytics platform
• Improve customer support experiences using AI
• Enable intelligent automation across EV charging infrastructure
• Collaborate with cross-functional teams to design, build, and deploy AI-powered solutions
• Enhance experience for millions of EV drivers and operators worldwide

Additional responsibilities:

• Optimize system performance with measurable improvements such as latency reduction and cost optimization
• Work with massive datasets (50TB+) and build scalable data pipelines

Nice to have:

• Experience with RLHF-style preference tuning and model alignment techniques
• Certifications in Generative AI, Agentic AI, or related specialization

More skills:

Python, FastAPI, Django, LLM engineering, Amazon Bedrock/OpenAI APIs, Elasticsearch, vector search, hybrid search (BM25 + dense embeddings), semantic retrieval, vector databases (Qdrant, ChromaDB, Pinecone), low-latency inference, caching strategies, observability, distributed systems design, microservices architecture, event-driven patterns (Kafka, RabbitMQ), cloud platforms (AWS, GCP), containerization (Docker, Kubernetes), CI/CD pipelines, PostgreSQL, Redis, MongoDB, message queues, Voice AI systems, telephony integrations (Genesys, SIP), speech processing pipelines, computer vision, image processing, data engineering (Airflow, DBT), analytics platforms (ClickHouse, Trino, Iceberg), model fine-tuning techniques (LoRA, QLoRA), RLHF-style preference tuning, model alignment techniques, observability and monitoring stacks (metrics, logging, tracing)

Other:

• ChargePoint values: Be Courageous, Charge Together, Love our Customers, Operate with Openness, Relentlessly Pursue Awesome
• Commitment to an inclusive and diverse team
• Equal opportunity employer with non-discrimination policy
• Reasonable accommodations provided for persons with disabilities during employment process