Full Stack Developer – SaaS AI Knowledge Base Platform

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Posted:12 hours ago| Platform: Linkedin logo

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Job Description

Full Stack Developer – SaaS AI Knowledge Base Platform


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About the Role:


Full Stack Developer


Key Responsibilities

  • Design, develop, and deploy the SaaS AI Knowledge Base as per the project’s 15-week roadmap.
  • Implement

    role-based access control

    and secure authentication using Firebase.
  • Develop multi-tenant architecture with subdomains, dashboards, and content management.
  • Build content ingestion workflows: PDF uploads, web crawling, text parsing, chunking, and embedding generation.
  • Integrate vector search using Qdrant/Weaviate.
  • Implement RAG pipeline for GPT-powered responses.
  • Develop an embeddable chatbot SDK and analytics dashboard.
  • Deploy using Docker, AKS, Helm, and ensure robust monitoring and security.
  • Deliver complete documentation (Admin, User, SDK/API).


Technical Requirements

  • Proficiency in

    Node.js, Express, Next.js, TailwindCSS, Prisma

    .
  • Experience with

    Firebase Auth

    , AWS S3/Azure Blob, PostgreSQL, and vector databases (Qdrant/Weaviate).
  • Strong understanding of

    OpenAI APIs

    , embeddings, and similarity search.
  • Knowledge of

    multi-tenant SaaS architecture

    and RBAC implementation.
  • Familiarity with DevOps tools (Docker, AKS, Helm, GitHub Actions, Grafana, Prometheus).
  • Experience in web crawling (Cheerio, Puppeteer) and PDF/document parsing.


Nice to Have

  • Experience integrating chatbots with Slack/Discord.
  • Familiarity with Stripe billing integration.
  • Knowledge of analytics tools (Supabase, Sentry).


How to Apply


Send your resume, portfolio, and relevant project examples to info@solutionzhere.com with the subject line “Full Stack Developer – AI Knowledge Base”.


Best Regards

Maddy

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