AI Automation Engineer - Test Generation & Agent Systems (Sr Staff)

Equinix; Bengaluru; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

Equinix in Karnataka, Bengaluru is seeking an experienced individual to build a Claude-powered test generation pipeline. You will be responsible for designing and monitoring test maintenance agents and ensuring high-quality LLM outputs.

The ideal candidate should have over 8 years of experience in TypeScript or Python, and must be comfortable handling ambiguity while working on cutting-edge technology. Additional tools like Playwright are advantageous.

Qualifications

• 8+ years of strong TypeScript or Python experience.
• Ability to rigorously evaluate LLM outputs.
• Experience designing fault-tolerant agentic systems.

Responsibilities

• Design and build a Claude-powered test generation pipeline.
• Build a test maintenance agent to monitor test flakiness.
• Own the prompt engineering layer for test generation.

Skills

Production experience with the Anthropic Claude API or OpenAI API

Strong TypeScript or Python

Evaluate LLM output quality

Agentic systems design

Comfort with ambiguity

Tools

Playwright

Job description

About The Role

This is one of the most technically novel roles in the team. You will build the intelligence layer of our QE platform: a pipeline that takes a Jira ticket or product specification and produces a first‑draft Playwright test using Claude, and an autonomous agent that monitors the live test suite, detects flakiness, diagnoses root causes, and proposes or applies fixes. The quality of your agent layer will directly determine how fast the rest of the team can move.

What You’ll Own

• Design and build the Claude‑powered test generation pipeline: product spec or Jira ticket in, first‑draft Playwright test out
• Build the test maintenance agent: continuously monitors the suite, detects flaky or failing tests, diagnoses causes, and proposes or auto‑applies fixes with human‑in‑the‑loop review
• Own the prompt engineering layer: maintain the prompt library, build an evaluation harness, and score generated test quality systematically
• Define the acceptance workflow: which AI‑generated tests require engineer review before merge, and which meet the bar for automatic acceptance
• Instrument the agent layer: track cost per test generated, acceptance rate, time‑to‑fix for maintenance interventions, and overall flakiness reduction
• Partner closely with automation engineers to understand product domain nuance and improve generation quality for complex business logic
• Stay current with fast‑moving LLM tooling and evaluate new approaches that could improve speed or quality

MUST HAVE

• Production experience with the Anthropic Claude API or OpenAI API — specifically tool use, multi‑step agent patterns, and structured output
• 8+ years of Strong TypeScript or Python — comfortable choosing the right language for the task
• Ability to evaluate LLM output quality rigorously: you build evals, not just vibes checks
• Experience designing agentic systems that handle failure gracefully: retries, fallbacks, and human escalation paths
• Comfort with ambiguity and incomplete requirements — you are building something that does not exist yet in most organizations

NICE TO HAVE

• Playwright or comparable E2E test framework experience — you don't need to be an expert but you must be able to read and reason about test code fluently
• Experience with test infrastructure: fixture factories, seed scripts, environment isolation
• Prior work building agents with persistent memory, multi‑tool orchestration, or complex retry logic

Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form.

Equinix is an Equal Employment Opportunity and, in the U.S., an Affinative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.

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