Artificial Intelligence Engineer

Responsibilities:

• Translate product requirements, QA docs, and workflows into

  AI-powered automation pipelines

  .
• Develop

  prompting, evaluation, and orchestration

  flows (LangChain, LlamaIndex, or custom).
• Connect LLM outputs to real systems (e.g., generate Playwright/Selenium tests, integrate with GitHub CI/CD).
• Set up

  evaluation + monitoring

  for AI workflows (accuracy, reliability, cost).
• Collaborate with cross-functional teams to expand AI use cases beyond QA.
• Build

  internal AI tooling

  that other engineers and business teams can reuse.

This opportunity is for you if,

• 2-4 years total experience:
• Hands-on experience with at least one

  QA automation framework

  (Selenium, Playwright, Appium, etc.).
• Comfort with

  Python/Java/JavaScript

  and modern dev practices (Git, CI/CD, cloud).
• Familiarity with

  LLM APIs

  (OpenAI, Anthropic, etc.) and frameworks (LangChain, LlamaIndex).
• Ability to think

  end-to-end

  : from prototype to production.
• Startup mindset: scrappy, hands-on, comfortable with ambiguity, bias for shipping.