QEAI Engineer

As a QE AI Engineer, you will join a Quality Engineering team focused on modern software delivery, automation, and AI-enabled engineering across the SDLC.

This is a hands‑on engineering role for someone with strong software development and Quality Engineering experience who can contribute to the design, build, and improvement of modern QE solutions. You will work across test automation, engineering quality, and AI-enabled accelerators that support delivery teams in improving quality, speed, and efficiency.

You will help develop reusable QE assets, frameworks, and tooling, while working closely with engineers, testers, and stakeholders to embed quality earlier in the lifecycle. You will also support the adoption of AI/GenAI capabilities in practical QE use cases such as test generation, defect analysis, and quality reporting.

• Design, build, test, and maintain quality engineering solutions across the SDLC
• Contribute to the development and enhancement of reusable QE assets, accelerators, and automation frameworks
• Apply a shift-left approach by helping teams embed quality practices earlier in the development lifecycle
• Build and support automation across web, API, and non‑functional testing
• Contribute to AI-enabled QE use cases such as:
• test data preparation and augmentation
• defect analysis
• quality metrics and reporting
• engineering productivity tooling
• Work with structured and unstructured data to support AI and quality engineering solutions
• Evaluate the effectiveness of automation and AI-enabled solutions, and recommend practical improvements
• Monitor and report on progress, identify issues, and help resolve delivery and engineering challenges
• Collaborate with developers, product teams, and other engineers to understand requirements and deliver fit-for-purpose solutions
• Participate in reviews of code, design, and test solutions
• Support and mentor team members where appropriate, including sharing knowledge of modern QE and AI-assisted engineering practices

• Relevant experience in software engineering, SDET, Quality Engineering, or test automation roles
• Strong hands-on experience developing and maintaining automated test solutions
• Experience contributing to software delivery across the full SDLC, not limited to test execution
• Experience with web, API, and non-functional testing approaches
• Experience using CI/CD pipelines to integrate and run automated tests
• Good understanding of object-oriented programming principles and modern engineering practices
• Experience working with Git-based source control and collaborative development workflows
• Strong problem-solving and analytical skills
• Good written and verbal communication skills
• Ability to work independently under general direction and collaborate effectively as part of a team

We are looking for someone with practical experience or strong exposure to AI-enabled engineering solutions, ideally in testing, automation, or developer productivity use cases.

This may include experience with:

• Retrieval-Augmentation Generation (RAG)
• agentic workflows
• evaluation of LLM-based outputs

• Lang Chain
• Lang Graph
• CrewAI

• Weaviate or equivalent vector database technology

• selecting and preparing data for AI-enabled solutions
• evaluating model or workflow outputs
• identifying opportunities to improve data quality and model effectiveness

• defect analysis
• quality reporting
• knowledge retrieval

Experience with fine-tuning LLMs is beneficial but not required.

• Experience with contract testing frameworks, preferably Pact
• Experience building end-to-end automation frameworks from scratch
• Experience deploying Python services using frameworks such as Django or FastAPI
• Familiarity with Gunicorn
• Familiarity with Microsoft Entra
• Experience contributing to reusable internal tools, accelerators, or QE assets
• Experience mentoring junior engineers or supporting capability uplift within a team

We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our…