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    Home/Jobs/Staff AI Engineer

    Staff AI Engineer

    ChargePoint

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

    Skills Required

    LangChain
    Amazon Bedrock/OpenAI APIs
    Python
    FastAPI
    Django
    LangGraph
    Elasticsearch
    Qdrant
    ChromaDB
    Pinecone
    PostgreSQL
    Redis
    MongoDB
    RabbitMQ
    Docker

    Description

    Join ChargePoint, a leading EV charging network, in building an all-electric future. The company is at the center of the electric mobility revolution, powering a comprehensive set of hardware, software, and mobile solutions.

    Company: ChargePoint

    Role: Staff 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
    • LangChain
    • LangGraph
    • Amazon Bedrock/OpenAI APIs
    • Elasticsearch
    • Qdrant
    • ChromaDB
    • Pinecone
    • PostgreSQL
    • Redis
    • MongoDB
    • Kafka
    • RabbitMQ
    • Docker
    • Kubernetes
    • Airflow
    • DBT
    • ClickHouse
    • Trino
    • Iceberg

    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

    Role Focus:

    • Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains
    • Architect and build production-grade AI systems that enhance monitoring and analytics platform, improve customer support experiences, and enable intelligent automation
    • Work closely with cross-functional teams to design, build, and deploy AI-powered solutions

    Nice to have:

    • Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
    • Background in computer vision, image processing, or visual transformer architectures
    • Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
    • Familiarity with RLHF-style preference tuning and model alignment techniques
    • Experience with observability and monitoring stacks including metrics, logging, and tracing

    Other:

    • ChargePoint is an equal opportunity employer, committed to an inclusive and diverse team
    • Persons with disabilities are provided with reasonable accommodations throughout the employment process

    Prepare for this role

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

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