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    Home/Jobs/Senior AI-Native Full-Stack Engineer

    Senior AI-Native Full-Stack Engineer

    Cliq.dev

    United
    5+ years
    Today
    ₹84–144 LPA
    Full-time
    Remote

    Skills Required

    Claude Code
    agentic workflows
    Next.js
    React
    Python
    PostgreSQL
    AWS RDS
    Codex

    Description

    Senior AI-Native Full-Stack Engineer at Ship full-stack features and the shared agentic infrastructure powering a real multi-tenant production system with live customers.

    Company: cliq.dev

    Role: Senior AI-Native Full-Stack Engineer

    Location: Remote (USA/LATAM-friendly hours, overlap with US Pacific — at least 4h required)

    Experience:

    • 5+ years Next.js / React in production codebases
    • 5+ years Python, comfortable owning services end-to-end
    • 5+ years Postgres / AWS RDS, including schema design, performance tuning, and migrations on live systems
    • 1+ years building and shipping shareable commands, skills, agents, and hooks that other engineers depend on
    • Multi-tenant SaaS: demonstrated experience building and supporting scalable, multi-tenant SaaS over multiple years

    Key Skills:

    • Next.js
    • React
    • Python
    • Postgres
    • AWS RDS
    • Claude Code
    • Codex
    • agentic workflows

    Role Focus:

    • Ship full-stack features across the product — Next.js/React frontend, Python backend, Postgres on AWS RDS — on a real multi-tenant production system serving live customers, not demoware
    • Build and maintain shared agentic infrastructure: reusable Claude Code skills, subagents, hooks, and orchestrators the whole team uses every day
    • Raise the bar on quality: linters, type safety, tests, CI and living documentation/specs
    • Collaborate with the team directly on Slack and Linear
    • Help us push the frontier of agentic engineering on a real production codebase: not toy demos — multi-tenant data, real customers, real SLAs

    Nice to have:

    • Hands-on with at least one AI/agent SDK: Claude Agent SDK, OpenAI, LangGraph, CrewAI, or Vercel AI SDK
    • Experience publishing or maintaining MCP servers
    • CI/CD ownership: pipelines, deploy automation, rollback discipline
    • AWS surface area beyond RDS: EC2, Cognito, App Runner
    • Linear power user — issue hygiene, project structure, status discipline
    • Evaluations, experiments, human reviews, feedback loops, and promotion gates via real metrics — not 'feelings' — to measure and improve AI systems
    • Tracing, observability, and the architecture needed to build resilient AI systems
    • Prior consulting or embedded-engineer experience inside a customer team

    Other:

    • Full-time, embedded in the Client's engineering team
    • USD $7,000–$12,000 / month — actual compensation is based on your level of relevant experience
    • English at a professional working level — written and spoken

    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.

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