Role Overview

We are seeking a highly skilled Test Automation Engineer to join the Agentic AI Squad within our AI Platform organization. The ideal candidate will have strong experience in designing, implementing, and maintaining automated test frameworks for complex distributed systems, with particular focus on AI/LLM-powered capabilities, agentic workflows, and high-scale backend services.

This role involves building robust automation pipelines, validating model-driven behaviors, ensuring system reliability through automated quality gates, and collaborating closely with AI researchers, backend engineers, and product teams to ensure end-to-end quality across the platform.

Key Responsibilities

Automation & Quality Engineering

Design, implement, and maintain scalable automated test suites for API, integration, end-to-end, and workflow-level testing of agentic AI systems.
Build automation frameworks that validate correctness, robustness, safety, and determinism in LLM-driven behaviors and multi-agent orchestration.
Develop synthetic datasets, fixtures, and mocks to replicate complex agentic scenarios and edge cases.

AI/LLM-Specific Testing

Implement automated evaluation pipelines for LLM outputs, including functional tests, regression checks, safety tests, and model-behavior verification.
Collaborate with ML Engineers to integrate model evaluation metrics (e.g., hallucination detection, grounding accuracy, response consistency) into CI/CD systems.
Validate prompt templates, agent tools, retrieval workflows, and chain-of-thought instrumentation.

Platform Integration

Work with backend and platform teams to ensure test coverage across microservices, feature flags, workflow orchestrators, and event-driven systems.
Contribute to stable system design and ensure new features include clear acceptance criteria and automation strategies.

CI/CD & Release Quality

Integrate automated testing pipelines into GitHub Actions (or equivalent), ensuring fast feedback cycles and continuous verification.
Implement quality gates, flakiness detection, and test result analytics to improve reliability and reduce manual QA overhead.
Participate in release readiness reviews and ensure that automated checks provide full coverage for functional and non-functional requirements.

Must-Have Qualifications

Education

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related technical field, or equivalent practical experience.

Work Experience & Skills

5+ years of experience in Test Automation Engineering, Software Development in Test (SDET), or similar roles.
Proven hands-on experience building automation frameworks at scale (Python or JavaScript/TypeScript preferred).
Strong experience testing distributed systems, microservices, asynchronous workflows, and APIs.
Familiarity with AI/LLM-based product testing, including prompt evaluation, workflow validation, or model-behavior testing.
Proficiency with test frameworks such as PyTest, Playwright, Jest, or similar.
Strong experience with CI/CD (GitHub Actions preferred).
Strong skills in debugging, root-cause analysis, and building reliable automation pipelines.
Excellent communication skills in English (written and spoken).

Other Requirements

Strong analytical mindset and ability to reason rigorously about system behavior.
Ability to operate in a fast-paced environment with evolving AI technologies and requirements.
Passion for automation, reproducibility, and engineering excellence.
Collaborative approach and willingness to work closely with AI research and product teams.

Nice-to-Have

Experience evaluating LLMs, agentic frameworks, or retrieval-augmented generation pipelines.
Knowledge of model evaluation tools (e.g., LangSmith, OpenAI Evals, Promptfoo, or custom metrics engines).

AI - Test Automation Engineer