AI Evaluation Engineer

About the role

Deposco is seeking an experienced AI Evaluation Engineer to join our innovative quality assurance team. This role focuses on ensuring the accuracy, reliability, and performance of AI-driven applications, models, and automation workflows. The ideal candidate will be highly analytical, detail-oriented, and passionate about shaping the future of AI testing practices. You will work closely with product managers, developers, and data scientists to validate AI features, services, and integrations that power our products. Reporting to the Vice President of Quality, this role will be instrumental in shaping the team’s future and supporting Deposco’s growth.

What You’ll Do:

- Engage in requirements and project meetings to fully understand goals and deliverables

- Review and analyze project requirements to pinpoint gaps and ensure they are suitable for creating test cases

- Design and maintain automated tests using Java or Python for our omnichannel solutions

- Employ automated testing tools for RESTful services connected to marketplace integrations

- Identify marketplace-specific use cases, performing manual tests when necessary, while progressing toward automation

- Develop automated acceptance and unit tests within an agile environment

- Utilize Jenkins and other CI tools for automation of development, build, deployment, and testing workflows

- Collaborate closely with product owners as part of a Scrum team to clarify requirements

- Examine test results from a technical perspective and provide detailed feedback to the development team

- Assist in troubleshooting production issues through coordinated testing and support efforts

- Create essential QA documentation, including test plans, scripts, strategies, and requirement traceability matrices

Nitty Gritty (What You’ll Need):

- Four-year degree in Computer Science/Engineering preferred

- 2+ years experience in software quality testing

- 2+ years of Agile Experience

- 2 years Python Experience preferred

- Experience in integration platforms preferred

- Thorough understanding of the Software Development Life Cycle (SDLC), encompassing requirements gathering, design, and testing, with hands-on experience in modern testing methodologies and tools

- Proficient in working with JSON and XML message formats

- Familiarity with Atlassian products such as JIRA and Confluence

- Experience working in agile environments and using continuous integration tools such as GitHub

- Solid knowledge of relational databases, with the ability to write MySQL queries to validate test results

- Practical exposure to RESTful automation tools

- Competence in at least one object-oriented programming language; scripting skills are an added advantage

- Capable of working independently or collaboratively in a fast-paced, dynamic environment under tight deadlines