Junior AI Engineers (Associates/Senior Associates)

Role Overview: At EY, you will be part of a team that focuses on developing future-focused skills and providing world-class experiences. The company empowers you in a flexible environment, fueling your extraordinary talents in a diverse and inclusive culture of globally connected teams. Working across a full spectrum of services and skills powered by technology and AI, EY aims to ensure that business, people, and the planet can thrive together. As a GenAI Engineer at EY DnA, you will have the opportunity to work on data and advanced analytics projects, combining expertise in artificial intelligence, natural language modeling, machine learning, and software engineering. Key Responsibilities: - Design, build, and deploy intelligent single / multi-agentic applications that leverage GenAI models such as LLMs for task decomposition, planning, and execution. - Develop and maintain end-to-end AI-powered workflows integrated with backend systems, APIs, and data pipelines on cloud-based platforms like Microsoft Azure and AWS. - Refine and implement advanced NLP and predictive models to generate insights from complex structured and unstructured data sets. - Collaborate with cross-functional teams to understand business requirements and translate them into scalable GenAI solutions. - Conduct rapid prototyping, PoCs, and experiments in AI agent frameworks like Lang Framework (Langchain, LangFlow, LangGraph, LangSmith, or LlamaIndex). - Ensure good code quality and packaging meeting production deployment requirements through best practices in software engineering. - Utilize full-stack development knowledge using DevOps with hands-on practice in languages like Python, Java, and React (Node.js) to develop end-to-end applications. - Present findings to a business/management audience, provide strategic recommendations, and collaborate with stakeholders. - Stay current with technical and industry developments to ensure effective and advanced applications of data analysis techniques and methodologies. - Define success metrics and deliverable timelines to ensure projects are delivered on time and meet strategic objectives. Qualifications Required: - Minimum bachelors degree in computer science, Mathematics, Engineering, Statistics, or a related field. - At least 1 year of experience in Natural Language Processing (NLP), Machine Learning, Generative AI specifically with Large Language Models (LLM). - Proficiency in Python and other applicable full-stack software programming languages. - Strong knowledge of machine learning, language modeling, data mining, and predictive modeling. - Excellent understanding of data science algorithms, processes, tools, and platforms. - Strong problem-solving mindset, with the ability to work in ambiguous and fast-paced environments. - Knowledge of API integration, containerization (e.g., Docker), cloud platforms (e.g., Azure, AWS, GCP), automated testing frameworks, and CI/CD practices. Additional Company Details: EY offers a competitive remuneration package commensurate with your work experience, rewarding individual and team performance. The company is committed to being an inclusive employer and is willing to consider flexible working arrangements guided by the FWA Policy. In addition to continuous learning opportunities, EY provides a transformative leadership experience, a diverse and inclusive culture, and a platform for success defined by individuals. Note: Highly motivated individuals with excellent problem-solving skills, effective communication abilities, and a passion for making an impact in a dynamic organization are encouraged to apply. Role Overview: At EY, you will be part of a team that focuses on developing future-focused skills and providing world-class experiences. The company empowers you in a flexible environment, fueling your extraordinary talents in a diverse and inclusive culture of globally connected teams. Working across a full spectrum of services and skills powered by technology and AI, EY aims to ensure that business, people, and the planet can thrive together. As a GenAI Engineer at EY DnA, you will have the opportunity to work on data and advanced analytics projects, combining expertise in artificial intelligence, natural language modeling, machine learning, and software engineering. Key Responsibilities: - Design, build, and deploy intelligent single / multi-agentic applications that leverage GenAI models such as LLMs for task decomposition, planning, and execution. - Develop and maintain end-to-end AI-powered workflows integrated with backend systems, APIs, and data pipelines on cloud-based platforms like Microsoft Azure and AWS. - Refine and implement advanced NLP and predictive models to generate insights from complex structured and unstructured data sets. - Collaborate with cross-functional teams to understand business requirements and translate them into scalable GenAI solutions. - Conduct rapid prototyping, PoCs, and experiments in AI agent frameworks l