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Teclusion

An AI Test Engineer (or AI/ML Quality Assurance Engineer)

Teclusion

Hyderabad, Telangana, India
Full-Time
Posted 16 days ago

Opens the application on bebee.com

Job Description & Responsibilities

An

AI Test Engineer

(or AI/ML Quality Assurance Engineer) blends traditional software testing with specialized machine learning and Large Language Model (LLM) evaluation to ensure AI systems are accurate, safe, and reliable. [1]

Key Responsibilities

  • AI/ML Model &
  • Output Validation:

Test AI-generated content, predictions, and responses for factual accuracy, consistency, and alignment.

  • Hallucination &
  • Bias Detection:

Design evaluation suites to catch model hallucinations, toxic or harmful outputs, and demographic or data bias.

  • Prompt &
  • Regression Testing:

Automate prompt-based test suites and track model regression across different prompt or model versions.

  • API &
  • Data Pipeline Validation:

Test REST/GraphQL APIs, vector databases, and the data pipelines feeding the AI models.

  • Safety &
  • Guardrail Compliance:

Check applications against security risks (prompt injection, PII/data leakage) and compliance frameworks (e.g., SOC 2, ISO 27001, NIST AI RMF).

  • CI/CD Integration:

Embed automated AI evaluation metrics and quality gates directly into deployment pipelines.

Required Skills &

  • Qualifications
  • Programming &
  • Scripting:

Strong proficiency in

Python

(most common for AI/ML testing), Java, or TypeScript/JavaScript.

  • Testing Frameworks:

Experience with UI/functional automation tools like

Playwright

,

Selenium

, or

Cypress

, alongside test frameworks like

PyTest

.

  • AI Evaluation Tools:

Familiarity with specialized LLM evaluation and observability tools such as

LangSmith

,

Ragas

,

DeepEval

, or model platforms.

  • API &
  • Data Testing:

Hands-on experience with

Postman

,

Swagger

, SQL, and data validation (Pandas/NumPy).

  • Core Concepts:

Understanding of machine learning metrics, train/test splits, model drift, and Retrieval-Augmented Generation (RAG) architectures.

  • Education:

A Bachelor's or Master’s degree in Computer Science, Information Technology, AI/ML, or a related engineering field. [1, 2, 3]

Required Skills

JavaScriptTypeScriptPythonJavaSQLCI/CDMachine Learning

Job Details

Employment TypeFull-Time
Work ModeOn-Site
Experience0 – 0 years
Positions1

Posted by

N/A

Posted on:

13 Oct 2026

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