Agentic RAG Systems Developer

2 weeks ago


Lahore, Punjab, Pakistan CLEARPRISE Full time 400,000 - 800,000 per year

Company Description

CLEARPRISE is an AI automation agency dedicated to helping businesses streamline operations, scale outreach, and drive predictable growth using intelligent automation systems. We specialize in building custom AI solutions such as outbound lead generation engines, voice agents, and proposal automation. Our solutions help service-based companies increase efficiency, boost revenue, and reduce manual work.

Key Responsibilities:

  • Develop and implement Agentic RAG systems
    that combine AI and retrieval-based data to enhance decision-making processes.
  • Use n8n
    for workflow orchestration, building automated processes across various platforms (CRM, APIs, third-party integrations).
  • Integrate AI tools
    (such as OpenAI, LangChain, etc.) with data storage systems, helping in retrieval and generation tasks in real-time.
  • Collaborate with the team
    to build, test, and deploy automated pipelines for seamless data synchronization and task automation.
  • Create and optimize workflows
    that retrieve relevant information and perform automated generation tasks to improve lead generation, customer interactions, and backend systems.
  • Document
    the development processes, workflows, and system architecture for future updates and scalability.

Skills & Experience Required:

  • Proven experience in developing
    Agentic RAG systems
    , utilizing tools like
    n8n
    ,
    OpenAI
    , and
    LangChain
    .
  • Strong
    technical background
    in building and scaling
    AI systems
    for automation and data retrieval.
  • Hands-on experience in
    workflow automation
    ,
    API integrations
    , and
    automation platforms
    such as
    n8n
    ,
    Zapier
    , or

    .
  • Solid programming skills in
    JavaScript
    (or related languages), with experience in building
    custom integrations
    and automation pipelines.
  • Familiarity with
    data management systems
    , including but not limited to
    SQL databases
    ,
    CRM tools
    , and
    cloud platforms
    .
  • Experience with
    AI-driven systems
    (RAG, NLP, LLMs) and
    machine learning integration
    .


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