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    Home/Jobs/Senior AI Engineer

    Senior AI Engineer

    ChargePoint

    Bengaluru
    8+ years
    Today
    ₹38–63 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    LangChain
    OpenAI
    Prompt Engineering
    RAG
    embedding-based retrieval systems
    semantic retrieval
    production LLM systems
    Gen AI
    Agentic AI
    visual transformer architectures
    LangGraph
    Amazon Bedrock
    Qdrant
    ChromaDB

    Description

    ChargePoint is a leading EV charging network company focused on advancing electric mobility with innovative AI solutions. The Senior AI Engineer will develop AI systems to enhance EV infrastructure and customer experiences.

    Company: ChargePoint

    Role: Senior AI Engineer

    Location: Bangalore, India

    Experience:

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

    Key Skills:

    • Python
    • FastAPI
    • Django
    • LLM engineering
    • LangChain
    • LangGraph
    • Amazon Bedrock
    • OpenAI APIs
    • prompt engineering
    • RAG architectures
    • Elasticsearch
    • vector search
    • hybrid search (BM25 + dense embeddings)
    • semantic retrieval
    • vector databases
    • Qdrant
    • ChromaDB
    • Pinecone
    • embedding-based retrieval systems
    • 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
    • query optimization
    • schema design
    • Redis
    • MongoDB
    • message queues
    • Voice AI systems
    • telephony integrations
    • Genesys
    • SIP
    • speech processing pipelines
    • computer vision
    • image processing
    • visual transformer architectures
    • data engineering
    • Airflow
    • DBT
    • analytics platforms
    • ClickHouse
    • Trino
    • Iceberg
    • model fine-tuning
    • LoRA
    • QLoRA
    • RLHF-style preference tuning
    • model alignment techniques
    • observability and monitoring stacks
    • metrics
    • logging
    • tracing

    Qualification:

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

    Role Focus:

    • Lead development of AI solutions in Voice AI, Computer Vision, and Conversational AI
    • Architect and build production-grade AI systems for monitoring and analytics
    • Improve customer support experiences with 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 latency reduction and cost optimization
    • Work with massive datasets (50TB+) and build scalable data pipelines
    • Ensure observability and monitoring including metrics, logging, and tracing

    Nice to have:

    • Experience with RLHF-style preference tuning and model alignment techniques
    • Experience with model fine-tuning techniques for domain-specific applications

    Other:

    • ChargePoint values: Be Courageous, Charge Together, Love our Customers, Operate with Openness, Relentlessly Pursue Awesome
    • Equal opportunity employer committed to diversity and inclusion
    • Provides reasonable accommodations for persons with disabilities during employment process
    • Focus on building a positive and productive work environment
    • Part of a team building the EV charging industry and shaping future mobility

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

    Functions, Tools and Agents with LangChain

    Coursera

    Advanced LangChain covering function calling, tool use, and conversational agents.

    Introduction to Generative AI

    Coursera

    Google Cloud introduction covering Gen AI concepts, model types, and Google AI tools.

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