Seeking a skilled Generative AI Engineer to design and validate AI-driven solutions, integrate LLMs and RAG, and develop automated testing frameworks, ensuring reliable AI features.
At PDI Technologies, we empower some of the world's leading convenience retail and petroleum brands with cutting-edge technology solutions that drive growth and operational efficiency.
By “Connecting Convenience” across the globe, we empower businesses to increase productivity, make more informed decisions, and engage faster with customers through loyalty programs, shopper insights, and unmatched real-time market intelligence via mobile applications, such as GasBuddy. We’re a global team committed to excellence, collaboration, and driving real impact. Explore our opportunities and become part of a company that values diversity, integrity, and growth.
Role Overview:
We are seeking a highly skilled Generative AI Engineer with strong Quality Engineering expertise to design, build, and validate intelligent AI-driven platform capabilities. This role focuses on integrating advanced Generative AI solutions such as LLMs, Retrieval-Augmented Generation (RAG), and vector-based systemsinto scalable platform services that enable automation, contextual insights, and enhanced decision-making. The ideal candidate will combine deep AI engineering knowledge with robust QA automation practices to ensure the reliability, accuracy, and safety of AI-powered features. You will play a key role in developing evaluation frameworks, implementing automated testing strategies, and integrating continuous testing within CI/CD pipelines, while collaborating cross-functionally to deliver high-performance, innovative, and trustworthy AI solutions.
Key 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
Qualifications
- 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 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.
- Candidates must demonstrate the ability to effectively leverage AI tools, automation, and modern AI technologies to enhance productivity, problem-solving, and innovation in their daily work. Proven ability to use AI-powered tools to improve efficiency, accelerate development, and solve complex problems. AI proficiency is required: ability to use and adapt to modern AI tools and technologies as part of day-to-day work.
- Strong communication and collaboration skills with the ability to work across engineering, product, and platform teams to deliver intelligent, production-ready solutions.
Behavioral Competencies
- Ensures Accountability
- Manages Complexity
- Communicates Effectively
- Balances Stakeholders
- Collaborates Effectively
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. We encourage 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.
Top Skills
AWS
Azure
C#
Cypress
GCP
Generative Ai
Java
JavaScript
Junit
Large Language Models
Python
Retrieval-Augmented Generation
Selenium
Testng
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