AI QA Automation Engineer

Avenue Code; Hyderabad; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Avenue Code is seeking experienced QA Automation Engineers for AI-Forward Testing to support PLM and ERP initiatives. You will help design scalable automated testing frameworks and collaborate with cross-functional teams in an AI-driven engineering environment.

The role requires strong QA judgment, hands-on ownership of quality, and the ability to validate AI-generated test cases while performing mandatory manual testing to ensure release quality.

Qualifications

• Must have hands-on QA automation experience and test framework design.
• Strong knowledge of test planning, execution, and release quality assurance.
• Familiarity with Golang and Agile software development environments.
• Ability to integrate AI tools throughout the QA lifecycle while ensuring manual review when needed.

Responsibilities

• Design and scale automated testing frameworks for AI-forward QA.
• Collaborate with development, product, and project teams to ensure quality across PLM/ERP initiatives.
• Critically review AI-generated outputs, validate requirements, and perform mandatory manual testing when required.

Skills

QA automation

Golang

Agile experience

Test planning

AI-assisted QA

Communication

Tools

Claude

GitHub Copilot

CI/CD

Oracle

Job description

Avenue Code is the leading software consultancy focused on delivering end-to-end development solutions for digital transformation across every vertical. We’re privately held, profitable, and have been on a solid growth trajectory since day one. We care deeply about our clients, our partners, and our people. We prefer the word ‘partner’ over ‘vendor’, and our investment in professional relationships is a reflection of that philosophy. We pride ourselves on our technical acumen, our collaborative problem-solving ability, and the warm professionalism of our teams.

Avenue Code has been believing in and promoting plurality actions for over 10 years, understanding that recognizing differences and fostering a safe environment, employment opportunities, representation, and support are the best ways to promote an increasingly equitable culture.

About the opportunity:

We are looking for experienced QA Automation Engineers – AI-Forward Testing to support PLM and ERP initiatives in a highly collaborative, AI-driven engineering environment. These engineers will work closely with development, product, and project teams to design and scale automated testing frameworks while using AI tools such as Claude to accelerate test planning, test case generation, framework development, specification clarification, and day-to-day QA activities.

The role requires strong technical judgment and hands-on ownership of quality. AI will be used as an engineering accelerator, but engineers will remain responsible for critically reviewing generated outputs, identifying gaps, validating requirements, performing mandatory manual testing, and ensuring final release quality.

Must Have Skills:

• QA Automation Expertise: Strong hands-on experience in QA automation, automated test strategy, and test framework design and development.
• Programming Knowledge: Familiarity with Golang.
• Testing Fundamentals: Strong understanding of test planning, test case design, test execution, validation, regression testing, and release quality assurance.
• Framework Ownership: Experience designing, implementing, maintaining, and expanding automation frameworks.
• AI-Assisted Engineering: Ability to use AI tools throughout the QA lifecycle while critically reviewing and validating generated test cases, code, recommendations, and documentation.
• AI Judgment: Ability to formulate effective questions and prompts, identify unreliable or incomplete AI outputs, and determine when manual review or engineering intervention is required.
• Agile Experience: Experience working closely with Product and Engineering teams in Agile environments.
• Communication: Strong communication skills with the ability to actively participate in technical discussions, project ceremonies, stand-ups, and conversations with engineering and product stakeholders.
• Proactive Mindset: Highly motivated, collaborative, and comfortable working with evolving or incomplete specifications while proactively identifying gaps and inconsistencies.
• Distributed Teams: Comfortable working in a highly interactive environment with geographically distributed engineering teams.

Nice to Have Skills:

• Experience with Oracle.
• Experience testing PLM or ERP applications.
• Previous experience using Claude, Claude Code, GitHub Copilot, or other Generative AI tools within software testing or engineering workflows.
• Experience building automation frameworks through collaborative and interactive AI-assisted development.
• Experience with CI/CD and continuous testing environments.
• Experience working with globally distributed engineering teams.

Avenue Code reinforces its commitment to privacy and to all the principles guaranteed by the most accurate global data protection laws, such as GDPR, LGPD, CCPA and CPRA. The Candidate data shared with Avenue Code will be kept confidential and will not be transmitted to disinterested third parties, nor will it be used for purposes other than the application for open positions. As a Consultancy company, Avenue Code may share your information with its clients and other Companies from the CompassUol Group to which Avenue Code’s consultants are allocated to perform its services.