Job Responsibilities

- AI Platform Architecture Implementation: Design, build, and deploy intelligent AI-driven platform capabilities that enable automation, intelligent insights, and advanced decision-making across distributed services and data systems.
- Product Innovation: Drive the development of next-generation AI-enabled platform features that enhance operational efficiency, enable intelligent automation, and deliver scalable, high-performance digital experiences.
- Generative AI Integration: Seamlessly integrate generative AI capabilities into platform services, including prompt engineering, Retrieval-Augmented Generation (RAG), intelligent workflows, and contextual reasoning systems.
- Intelligent System Leverage: Utilize Large Language Models (LLMs), embeddings, and vector-based retrieval systems to build intelligent, context-aware solutions that enhance platform capabilities and automation.
- AI Quality Evaluation: Develop frameworks and methodologies for validating AI system performance, including response accuracy, model reliability, safety evaluation, and output consistency.
- AI Testing Validation: Design and implement automated validation strategies to ensure reliability and correctness of AI-driven features, including automated test generation, model evaluation, and workflow validation.
- QA Automation Engineering: Develop and maintain scalable automation frameworks for validating platform services, APIs, and AI-enabled capabilities using modern testing tools and frameworks.
- API Integration Testing: Build automated test suites to validate API functionality, service integrations, and distributed system interactions to ensure reliability and performance.




- Continuous Testing CI/CD Integration: Integrate automated testing into CI/CD pipelines to enable continuous testing, faster feedback loops, and high-quality releases.
- Cross-Functional Collaboration: Work closely with engineering, product, data, and platform teams to translate complex requirements into scalable AI-enabled solutions while maintaining high-quality engineering standards.
- Technical Leadership: Provide guidance on AI engineering practices, automation strategies, and quality engineering standards to support platform reliability and intelligent system development.
- Mission Alignment: Contribute to building innovative, reliable, and ethically developed AI-powered systems that improve automation, developer productivity, and data-driven decision-making.

Qualifications

- Experience: 8+ years of experience in software engineering, quality engineering, or platform engineering, including experience building automation frameworks and AI-enabled systems.
- Generative AI LLM Integration: Hands-on experience integrating Large Language Models (LLMs) into applications, including prompt engineering, RAG architectures, AI workflow orchestration, and intelligent automation systems.
- Automation Engineering Expertise:



Robust experience designing and implementing test automation frameworks using tools such as Playwright, Selenium, Cypress, TestNG, JUnit, or similar technologies.
- API Testing Integration: Experience building automated tests for RESTful APIs and microservices using tools such as Postman, REST Assured, or similar frameworks.
- Programming Proficiency: Strong programming skills in at least two of the following languages: Python, Java, JavaScript, or C#.
- Cloud Platform Experience: Experience building and deploying applications on major cloud platforms such as AWS, GCP, or Azure, including containerized environments and CI/CD pipelines.
- Data AI Technologies: Familiarity with vector databases, embeddings, AI model evaluation techniques, and data pipelines that support intelligent applications.
- System Reliability Quality: Experience ensuring system reliability through automated testing, continuous integration, performance validation, and platform monitoring.
- DevOps CI/CD: Experience integrating automated testing and validation frameworks within CI/CD pipelines for scalable platform delivery.
- Soft Skills: Strong communication and collaboration skills with the ability to work across engineering, product, and platform teams to deliver intelligent, production-ready solutions.

Behavioral Competencies

- Cultivates Innovation
- Decision Quality
- Manages Complexity
- Drives Results
- Business Insight

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Test Automation Engineer III (Chennai)
🏢 Pdi Software India
📍 Chennai