Software Development Engineer in Test III - AI/ML

Job Description:

GreyOrange is seeking an SDET III (AI/ML and Agentic Systems) to build and scale intelligent quality engineering systems for our next-generation warehouse automation products. This role goes beyond traditional test automation, focusing on validating AI/ML-driven workflows, Agentic AI systems, autonomous decision-making pipelines, and developing internal utilities that streamline manual efforts and improve engineering efficiency.

Responsibilities:

- Design, develop, and maintain scalable automation frameworks and intelligent testing utilities.

- Validate complex AI/ML workflows, Agentic AI systems, APIs, and data pipelines.

- Build automation utilities and tools to eliminate manual QA efforts and drive operational productivity.

- Perform comprehensive API, backend, database, and system-level validation.

- Partner closely with Product, Software Engineering, and AI/ML teams during early design and development phases.

- Troubleshoot complex system issues and act as the first line of technical debugging for development teams.

- Participate in Agile cycles, driving continuous improvements in automation, validation, and intelligent testing practices.

Requirements:

- 6 - 8 years of progressive experience in SDET or QA Automation roles within fast-paced product engineering environments.

- Strong programming and scripting proficiency in Python and Java.

AI/ML And Domain Expertise:

- Hands-on experience working with AI/ML-based systems or intelligent automation platforms.

- Exposure to Agentic AI workflows, LLM-based architectures, or autonomous agents.

- Demonstrated track record of creating custom tools and utilities to automate complex manual workflows.

Technical And Automation Toolkit:

- Strong foundational knowledge of API testing, backend validation, and framework architecture.

- Hands-on expertise with tools such as PyTest, Selenium, Robot Framework, Postman, or similar technologies.

- Proficient in Unix/Linux environments, shell scripting, and database validation (SQL).

Analytical Skills:

- Strong analytical, debugging, and problem-solving mindset with attention to system details.

Preferred Qualifications:

- MLOps and Data: Exposure to MLOps pipelines, AI validation frameworks, or large-scale data testing.

- Cloud and Distributed Systems: Experience testing cloud platforms and distributed architectures.

- Domain Experience: Prior domain knowledge in warehouse automation, robotics, or supply chain execution systems.

Skills

Python, Java, Selenium, Machine Learning, Testing, AI/ML Testing, Automation Testing, PyTest, Robot Framework