Artificial Intelligence Engineer - Bengaluru - Zyoin Group

    Zyoin Group
    Zyoin Group Bengaluru

    3 days ago

    ₹900,000 - ₹2,200,000 (INR) per year * Transportation / Logistics
    Description

    AI Engineer (Applied AI – Full Stack Foundations)

    Location: Bangalore

    Experience: 9–15 Years

    About the Role

    We are looking for an experienced AI Engineer with strong computer science fundamentals and proven expertise in designing and delivering end-to-end AI solutions. This role is ideal for someone with deep knowledge of data structures, algorithms, and system design, combined with hands-on experience integrating AI into modern web and mobile platforms.

    Key Responsibilities

    AI Solution Development

    • Design and implement scalable AI-powered features such as copilots, Retrieval-Augmented Generation (RAG), intelligent search, and automation capabilities.
    • Build robust end-to-end pipelines that process large-scale data with high reliability and low latency.
    • Optimize models and workflows for performance, scalability, and efficiency.

    Platform Integration & Innovation

    • Integrate AI services into digital platform ecosystems to ensure seamless user experiences.
    • Translate research concepts into production-ready AI solutions.
    • Continuously enhance platform capabilities through clean, maintainable, and well-tested code.

    Collaboration & Problem Solving

    • Work closely with product teams, researchers, and domain experts to define and deliver AI solutions.
    • Solve complex engineering challenges balancing theoretical rigor with real-world constraints.

    Required Skills & Expertise

    • Strong foundation in Data Structures, Algorithms, and System Design.
    • Hands-on experience in Applied AI & Machine Learning.
    • Expertise in LLMs and RAG architectures.
    • Proficiency in Python.
    • Experience designing scalable APIs and full-stack solutions (MEAN stack preferred).
    • Strong analytical and problem-solving skills.
    • Understanding of applied AI techniques such as recommendation systems, anomaly detection, and NLP.

    Qualifications

    • Education: B.Tech (Computer Science, Engineering, or related field) — mandatory.
    • Proven professional experience building and deploying AI/ML solutions in production environments.
    • Experience working with industrial or enterprise-scale systems is a plus.

    Why This Role

    • Work on cutting-edge AI solutions that power real-world systems.
    • Opportunity to build intelligent platforms used in mission-critical environments.
    • High-impact role influencing innovation, performance, and automation at scale.
    * This salary range is an estimation made by beBee
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