Generative AI Engineer – Automation

4 weeks ago

Mysore, Karnataka, India Pandita Full time

About Pandita AI Solutions

Pandita AI Solutions is a rapidly growing AI startup with headquarters in Palo Alto, CA and a thriving engineering division in Mysore, India. We are pioneers in developing generative AI systems, foundation models, and multimodal applications that solve real-world problems across industries like healthcare, scientific computing, and document intelligence.

We're now looking to automate our internal operations using cutting-edge agentic AI and LLM-driven tools. This effort will be led by the founding team in close collaboration with a dedicated Generative AI Engineer, who will help implement intelligent automation — and later scale it for external clients and products.

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

  • Bachelors/Master's degree in EE, Mechanical, Applied Math, Computer 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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