Generative AI Engineer– Automation & Agentic Workflows

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

• Bachelorʼs or Masterʼs 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.
• 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

  .

How to Apply

GitHub portfolio