Test Automation Engineer III

PDI Technologies, Inc.; Hyderabad; Ibrido; INR 1.800.000 - 3.000.000; Tempo pieno

Vantaggi offerti da questo lavoro

Competitive salary

Hybrid working arrangements

Learning and development opportunities

Descrizione del lavoro

PDI Technologies, Inc. is hiring for a senior AI Platform Architect / QA Engineer to design and implement AI-driven platform capabilities, focusing on automation, intelligent insights, and scalable digital experiences.

You will work across engineering, product, data, and platform teams to deliver production-ready AI features. The role requires 8+ years in software or platform engineering, hands-on Generative AI/LLM integration, and experience building automation frameworks with modern testing

Competenze

• 8+ years of experience in software/QA/platform engineering
• Hands-on Generative AI & LLM integration experience
• Automation framework design and implementation experience
• Experience testing RESTful APIs and microservices
• Proficiency in two or more languages: Python, Java, JavaScript, or C#
• Experience on AWS, GCP, or Azure with containers/CI/CD
• Familiarity with embedding/vector databases and AI data pipelines
• Strong collaboration across engineering, product, data, and platform teams
• Excellent communication and problem-solving skills

Mansioni

• Design, build, and deploy AI-driven platform capabilities for automation and intelligent insights
• Drive development of next-gen AI-enabled platform features for efficiency and scalability
• Integrate generative AI capabilities including prompt engineering and RAG
• Leverage LLMs, embeddings, and vector retrieval for context-aware solutions
• Develop frameworks for AI system validation, accuracy, reliability and safety
• Create automated validation strategies for AI-driven features and CI/CD pipelines
• Develop and maintain scalable QA automation frameworks for APIs and services
• Build automated test suites for API functionality and microservices
• Ensure reliability through CI/CD integration and performance validation
• Collaborate with cross-functional teams to translate requirements into scalable AI solutions
• Provide guidance on AI engineering practices and quality standards
• Contribute to ethical and reliable AI-powered systems

Conoscenze

AI integration

Automation testing

API testing

Programming languages

Cloud platforms

Data & AI

System reliability

DevOps & CI/CD

Soft skills

Strumenti

Playwright

Selenium

Cypress

TestNG

JUnit

Postman

REST Assured

Descrizione del lavoro

For nearly 40 years, PDI has helped convenience retailers and petroleum wholesalers adapt to changes in the industry by leveraging the latest technologies. Simplifying the complexity in your world is our main focus. That's why we're delivering an integrated portfolio of global, cloud based solutions and services to meet our customers needs today and well into the future. From the back office to fuel logistics, and the latest wave of consumer demands and digital commerce, PDI solutions and services are designed to give you a competitive edge. Our deep domain knowledge is backed by our industry-specific software offerings and a people-first approach. Serving the entire supply chain means that we’ve had to solve a wide range of industry challenges and deliver measurable value. To address the increasingly dynamic convenience retail and petroleum wholesale industry, PDI leads the way with converged digital, cloud-optimized, secure, and scalable solutions including ERP, Loyalty, Fuel Pricing, Point-of-Sale and Logistics to create a broader industry ecosystem. The result is unparalleled insights, simplified operations, and higher profitability for your employees and business. We’re dedicated to helping our more than 1,500 customers in over 50 countries, providing solutions and services to over 200,000 sites.

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: Strong 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 ResultsBusiness Insight

PDI is committed to offering a well-rounded benefits program, designed to support and care for you, and your family throughout your life and career. This includes a competitive salary, market-competitive benefits, and a quarterly perks program. Weencourage a good work-life balance with ample time off [time away] and, where appropriate, hybrid working arrangements. Employees have access to continuous learning, professional certifications, and leadership development opportunities. Our global culture fosters diversity, inclusion, and values authenticity, trust, curiosity, and diversity of thought, ensuring a supportive environment for all.