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    Home/Jobs/Senior Full Stack AI Engineer

    Senior Full Stack AI Engineer

    Aviato Consulting

    India
    8+ years
    Today
    ₹38–63 LPA
    Full-time
    Remote

    Skills Required

    LLM
    Agentic AI
    LLMOps
    Vector Database
    Pinecone
    ChromaDB
    pgvector
    Machine Learning
    GCP
    Vertex AI
    BigQuery
    Cloud Dataflow
    Apache Beam
    Python
    JavaScript

    Description

    Aviato Consulting is seeking a Senior Full Stack AI Engineer to design, deploy, and scale machine learning models and AI-driven applications primarily on Google Cloud Platform. The ideal candidate will have 8+ years of professional software engineering experience and strong proficiency in Python and JavaScript/TypeScript ecosystems.

    Company: Aviato Consulting

    Role: Senior Full Stack AI Engineer

    Location: Remote, India

    Experience:

    • 8+ years of professional software engineering experience
    • proven track record of shipping production-grade full-stack features

    Key Skills:

    • Python
    • JavaScript/TypeScript
    • Google Cloud Platform (GCP)
    • machine learning models
    • AI-driven applications
    • Vertex AI
    • Azure
    • FastAPI
    • Django
    • Node.js
    • React
    • Next.js
    • Tailwind CSS
    • Apache Beam
    • BigQuery
    • Cloud Dataflow

    Qualification:

    • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience

    Role Focus:

    • Train, test, scale, and optimize machine learning models within Google Cloud Vertex AI
    • Implement semantic search and memory infrastructure using vector databases
    • Build robust, low-latency backend systems, asynchronous event loops, and middleware routers
    • Process, organize, and structure massive datasets utilizing Google Cloud BigQuery
    • Design real-time stream and scheduled batch pipelines via GCP Cloud Dataflow and Apache Beam
    • Stitch together complex, responsive web interfaces and AI-generated component modules using React, Next.js, and Tailwind CSS
    • Orchestrate codebase context within next-gen AI environments
    • Architect and optimize full-stack ML infrastructure for high performance, low latency, and maximum cost efficiency on GCP

    Nice to have:

    • Extensive hands-on experience engineering, evaluating, and scaling machine learning models and autonomous, agentic solutions within live production environments
    • Deep technical expertise across GCP serverless compute functions, Vertex AI architectures, and complex BigQuery workflows
    • Solid understanding of multi-cloud infrastructure environments (GCP/Azure), comprehensive version control systems (Git), and configuring containerized CI/CD pipelines

    Other:

    • 100% Remote Freedom: Work from anywhere in India
    • True Ownership: Full ESOP access after just six months
    • Elite Culture: Google-caliber engineering standards with zero corporate bureaucracy

    Prepare for this role

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

    Python for Everybody Specialization

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    Generative AI with Large Language Models

    Coursera

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

    Python 3 Programming Specialization

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    Intermediate Python covering classes, inheritance, APIs, and data processing.

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