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Generative AI Engineer – Automation & Agentic Workflows

0 years

0 Lacs

Mysore Karnataka India

Posted:3 days ago| Platform: Linkedin logo

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Skills Required

ai automation engineering healthcare automate cutting collaboration leadership research synthesis onboarding code workflow openai prototype test notion slack github support portfolio data programming orchestration rest aws gcp docker fastapi parsing summarization retrieval compensation

Work Mode

On-site

Job Type

Full Time

Job Description

About Pandita AI Solutions

Palo Alto, CA

automate our internal operations


Key Responsibilities

  • Work closely with the leadership team to 

    map internal processes

     that can benefit from AI-based automation (e.g., document handling, research synthesis, client onboarding, code generation, workflow orchestration).
  • Build internal tools using 

    LLMs and agent frameworks

     (LangChain, OpenAI Functions, AutoGen, CrewAI, etc.) for semi-autonomous task execution.
  • Prototype, test, and refine 

    agentic applications

     that integrate with internal systems (e.g., Notion, Slack, GitHub, Airtable, email, databases).
  • As the automation matures internally, support the transition to 

    external automation offerings

     for clients across domains.
  • Maintain a portfolio of your work in GitHub, and contribute reusable components to the broader engineering team.

    • Minimum Qualifications

    • Master’s degree in Computer Science, AI, Data Science, or a related technical field.
    • Solid programming skills in 

      Python

       and experience building backend services, APIs, or automation tools.
    • Demonstrated ability to build and maintain 

      agent-based apps

       using tools like 

      LangChain, CrewAI, LlamaIndex

      , or custom orchestration frameworks.
    • A strong 

      GitHub portfolio

       of previous automation projects or agentic AI applications (personal or professional).
    • Familiarity with REST APIs, cloud services (AWS/GCP), and tools like Docker, FastAPI, or Streamlit.


    Preferred Qualifications

    • Experience integrating 

      LLMs with external APIs

       and multi-step workflows (e.g., form parsing + summarization + ticket generation).
    • Familiarity with tools like 

      Zapier

      , 

      Make

      , 

      Airflow

      , or 

      custom workflow engines

      .
    • Understanding of 

      retrieval-augmented generation (RAG)

      , embeddings, and prompt engineering best practices.
    • Publications in International conferences such as IEEE, ICML, NIPS
    • Entrepreneurial mindset with a willingness to explore ambiguous spaces and iterate rapidly.


    What We Offer

    • A unique opportunity to work 

      directly with founders and AI researchers

       on defining the next era of automation.
    • A fast-paced, early-stage startup culture with a focus on 

      delivery, ownership, and learning

      .

    • ESOPs

      , competitive compensation, and access to high-end compute infrastructure.
    • Long-term growth opportunity to lead automation efforts both internally and across 

      external enterprise deployments

      .

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