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    Job · 18761100

    Siox Global logo

    Full Stack Developer

    Siox Global · Vadodara · onsite · Posted 30d ago

    Undisclosed3–7 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Job Title: Full-Stack Developer - AI Applications

    Experience: 3 to 7 years
    Location: Vadodara, Gujarat
    Work Mode: Full-time, work from office

    Shift: US Shift 5PM to 3AM
    Employment Type: Permanent


    Role Overview

    • We are looking for an experienced Full-Stack Developer with mandatory hands-on experience building AI-enabled applications.
    • The selected candidate will build production-grade SaaS platforms, internal tools, workflow automations, AI agents, and business applications. This is not a traditional full-stack role with occasional AI exposure. The developer must be comfortable integrating, testing, deploying, and optimizing AI capabilities as part of real software products.

    Key Responsibilities

    • Build and maintain complete web applications across frontend, backend, databases, APIs, and deployment.
    • Develop responsive interfaces using React.js, Next.js, and TypeScript.
    • Build secure and scalable backend services using Node.js and/or Python.
    • Integrate LLMs and AI APIs such as OpenAI, Anthropic, Gemini, or similar platforms.
    • Develop AI assistants, agents, chatbots, document-processing systems, and workflow automations.
    • Implement prompt management, structured outputs, tool calling, retrieval-augmented generation, and AI evaluation workflows.
    • Create and maintain vector-search and knowledge-retrieval systems.
    • Connect AI systems with CRMs, databases, communication tools, and third-party APIs.
    • Implement authentication, role-based access control, and multi-tenant SaaS architecture.
    • Monitor and optimize AI accuracy, latency, token usage, reliability, and operating costs.
    • Design database schemas, write migrations, and optimize queries.
    • Create automated tests and troubleshoot application and AI-related failures.
    • Participate in code reviews and maintain strong engineering standards.
    • Own assigned features from requirements and architecture through deployment and production support.
    • Work directly with product, operations, and business teams to convert operational problems into scalable software.

    Mandatory Technical Skills

    • 3 to 7 years of professional full-stack development experience.
    • Production-level experience with JavaScript and TypeScript.
    • Strong experience with React.js and Next.js.
    • Strong backend experience with Node.js, Express.js, NestJS, Python, or FastAPI.
    • Hands-on experience integrating LLM APIs such as OpenAI, Anthropic, Gemini, or equivalent.
    • Experience building at least one working AI-enabled application used by real users or business teams.
    • Understanding of prompt engineering, structured outputs, function/tool calling, embeddings, and vector search.
    • Experience implementing retrieval-augmented generation using business documents or proprietary data.
    • Ability to test AI output quality and address hallucinations, security risks, latency, and cost.
    • Strong experience with REST APIs and third-party system integrations.
    • Experience with PostgreSQL or another relational database.
    • Understanding of authentication, authorization, data security, and role-based access control.
    • Proficiency with Git, GitHub, code reviews, and pull-request-based development.
    • Experience deploying and supporting production applications.

    Preferred Skills

    • Experience with Supabase, Prisma, or similar platforms.
    • Experience with AI SDKs and frameworks such as Vercel AI SDK, LangChain, LangGraph, LlamaIndex, or equivalent.
    • Experience with pgvector, Pinecone, Qdrant, Weaviate, or another vector database.
    • Experience developing multi-step AI agents and human-in-the-loop workflows.
    • Familiarity with speech-to-text, text-to-speech, voice AI, computer vision, or document extraction.
    • Experience implementing AI evaluations, tracing, observability, and guardrails.
    • Familiarity with MCP, agent tools, and external application integrations.
    • Experience with Tailwind CSS and component libraries such as shadcn/ui.
    • Experience with SaaS platforms, multi-tenant architecture, and subscription billing.
    • Familiarity with Vercel, AWS, Docker, CI/CD, and automated testing.
    • Experience integrating Stripe, Twilio, WhatsApp, email, CRM, or telephony platforms.

    Sourced from naukri

    Skills

    Retrieval Augmented GenerationVector DatabaseLarge Language Models (LLMs)PythonNode.JsReact.JsFull StackArtificial Intelligence

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