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    Home/Jobs/Staff AI Operations Engineer / Builder

    Staff AI Operations Engineer / Builder

    Yahoo

    United States
    8+ years
    Today
    ₹12–25 LPA
    Full-time
    Hybrid

    Skills Required

    LLM
    RAG
    Python
    TypeScript
    React
    Node.js
    AWS Bedrock
    Vertex AI
    API Integration
    cloud infrastructure
    data pipelining
    SQL
    ETL

    Description

    Yahoo is seeking a Staff AI Operations Builder (IC5) to architect the AI-native operating engine for Yahoo Mail. This role involves transforming Yahoo Mail from a traditional product and operating organization into an AI-native one.

    Company: Yahoo

    Role: Staff AI Operations Engineer / Builder

    Location: United States of America

    Experience:

    • 8+ years of software engineering, product management, technical systems-building, or platform architecture experience
    • Professional experience designing, implementing, and evaluating LLM-backed applications, multi-agent frameworks, RAG architectures, or automated internal operations systems
    • High-agency ownership with a proven track record of delivering architectural strategy and shipping complex, operational platforms in highly ambiguous environments

    Key Skills:

    • Python
    • TypeScript
    • React
    • Node.js
    • relational/non-relational data systems
    • AWS Bedrock
    • Vertex AI
    • modern coding assistants (e.g., Cursor, Claude Code)

    Qualification:

    • 8+ years of software engineering, product management, technical systems-building, or platform architecture experience
    • Professional experience designing, implementing, and evaluating LLM-backed applications, multi-agent frameworks, RAG architectures, or automated internal operations systems
    • Deep familiarity with production-grade AI development platforms (e.g., AWS Bedrock, Vertex AI) and modern coding assistants (e.g., Cursor, Claude Code)

    Role Focus:

    • Architect and deploy full-stack internal AI products
    • Define foundational engineering patterns, guardrails, and platform architectures for reliability, data permissions, enterprise privacy, and observability
    • Establish automated LLM evaluation (Evals), output validation frameworks, and human-in-the-loop validation flows
    • Incorporate state-of-the-art developer frameworks to abstract operational workflows into reusable API layers
    • Design, deploy, and continuously optimize multi-agent orchestrations and retrieval-augmented generation (RAG) pipelines

    Additional responsibilities:

    • Collaborate horizontally with Product, Engineering, Design, and Executive leadership to map physical organizational processes into autonomous workflows
    • Mentor and uplevel adjacent engineering, product, and operational squads on prompt engineering, structured LLM interactions, and automated workflow adoption
    • Turn highly ambiguous, fragmented data sources into structured, queryable knowledge networks

    Nice to have:

    • Experience deploying and tuning open-source agentic frameworks or managing large-scale internal copilot environments
    • Experience in Product Operations, Business Operations, Strategy, or Technical Program Management within high-scale consumer tech organizations
    • Strong background in cloud infrastructure, data pipelining (SQL, ETL processes), and secure enterprise access control management

    Other:

    • Flexible hybrid work options
    • Comprehensive benefits including healthcare, 401k, backup childcare, education stipends, and more
    • Compensation ranges from $143,625.00 - $299,375.00/yr
    • Equal opportunity workplace with a commitment to diversity and inclusion

    Prepare for this role

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

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

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

    Generative AI with Large Language Models

    Coursera

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

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