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    Home/Jobs/Staff Backend Engineer

    Staff Backend Engineer

    Quo

    United States
    10+ years
    Today
    ₹18–24 LPA
    Full-time
    Remote

    Skills Required

    LangChain
    LLM
    Vector Database
    Node.js
    TypeScript
    Kubernetes
    AWS
    RabbitMQ
    PostgreSQL
    MongoDB
    Elasticsearch
    Redis
    React
    Kong
    Datadog

    Description

    Small businesses represent 99.9% of all companies, yet they're still forced to choose between clunky, outdated enterprise phone systems or their personal phones. Quo brings calls, texts, and customer information together into one easy-to-use, AI-powered platform.

    Company: Quo

    Role: Staff Backend Engineer (AI Platform Team)

    Location: Remote - United States & Canada

    Experience:

    • 10+ years of backend or platform engineering experience
    • Proven success leading architecture for business-critical services

    Key Skills:

    • Node
    • Typescript
    • vector DBs
    • Langchain
    • Kubernetes
    • AWS
    • RabbitMQ
    • Postgres
    • Mongo
    • Elastic
    • Redis
    • React
    • Android
    • iOS
    • Kong
    • Datadog
    • Figma
    • Linear
    • Notion
    • Slack

    Role Focus:

    • Own the long-term architecture for AI orchestration frameworks
    • Lead cross-functional delivery of AI features
    • Establish best practices for prompt engineering
    • Design and optimize low-latency streaming pipelines
    • Drive continuous cost, performance, reliability, and security improvements
    • Mentor engineers through design reviews, code reviews, and technical coaching

    Other:

    • The annual base salary range for this position is $205,000-$242,000 USD for SF Bay Area, Los Angeles, Seattle, Portland, Boston, New York, and Washington, DC Metro; $185,000-$217,800 USD for all other US Locations; and $189,000- $222,000 CAD for Canada
    • Equity and benefits included
    • Extensive medical coverage
    • Monthly lifestyle stipend
    • Flexible PTO policy

    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.

    Large Language Models: Application through Production

    edX

    Production-focused LLM course covering deployment, monitoring, and scaling.

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