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    Home/Jobs/Staff Backend Engineer (AI Platform Team)

    Staff Backend Engineer (AI Platform Team)

    Quo

    Los Angeles / Seattle / Portland / Boston / United States & Canada / SF Bay Area
    10+ years
    Today
    ₹205–242 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    Small businesses represent 99.9% of all companies, yet they're still forced to choose between clunky, outdated enterprise phone systems or their personal phones.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 is changing that. We bring 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, including LLM-driven systems in production
    • Proven success leading architecture for business-critical services, balancing innovation with operational pragmatism
    • Track record of driving cost optimization, observability, and incident response for AI workloads

    Key Skills:

    • Node
    • Typescript
    • vector DBs
    • Langchain
    • Kubernetes
    • AWS
    • RabbitMQ
    • Postgres
    • Mongo
    • Elastic
    • Redis
    • Kong
    • Datadog
    • Figma
    • Linear
    • Notion
    • Slack
    • LLM integration patterns
    • prompt design
    • vector search
    • agent frameworks
    • event-driven and streaming architectures

    Role Focus:

    • Own the long-term architecture for AI orchestration frameworks, agent-based workflows, and model lifecycle management
    • Lead cross-functional delivery of AI features from proof of concept to production rollout, coordinating engineering, product, design, and CX
    • Establish best practices for prompt engineering, evaluation, versioning, observability, and incident response for AI services
    • Design and optimize low-latency streaming pipelines for speech and other real-time data when the customer experience demands it
    • Drive continuous cost, performance, reliability, and security improvements for models and infrastructure
    • Mentor engineers through design reviews, code reviews, and technical coaching, raising the bar for excellence across teams
    • Partner with security and platform leaders to ensure data privacy, compliance, and operational excellence
    • Stay current on advances in LLMs, agent architectures, and emerging tooling, translating insights into actionable roadmap proposals

    Other:

    • The annual base salary range for this position is as follow, plus equity and benefits: SF Bay Area, Los Angeles, Seattle, Portland, Boston, New York, and Washington, DC Metro: $205,000-$242,000 USD, All other US Locations: $185,000-$217,800 USD, Canada: $189,000- $222,000 CAD
    • Extensive medical coverage
    • A monthly lifestyle stipend
    • A flexible PTO policy
    • Equity

    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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