Digital Staff

The OpportunityWe are looking for a Staff AI Engineer with 2-4 years of overall experience to contribute to building and deploying AI-driven products and services. The ideal candidate is handson with Python and Generative AI, and has a working foundation in Machine Learning, Deep Learning, NLP, and Transformer architectures. This is a handson, growthoriented position with strong learning opportunities. Your Key ResponsibilitiesWork closely with senior engineers to develop features, build and integrate APIs, and support the deployment and scaling of AI solutions.Contribute to building and deploying AI-driven products and services.Develop REST/APIs and integrate AI models into applications.Support deployment of models/services to production environments.Participate in application scaling and performance optimization efforts.Leverage Microsoft Azure cloud services for AI solution delivery.Skills and Attributes for SuccessBachelor's or masters degree in computer science, Data Science, Artificial Intelligence, Engineering, or a related field.2-4 years of overall handson experience in software/AI engineering (not limited to Generative AI).Demonstrated experience contributing to AI/ML projects or applications.Strong proficiency in Python and its AI/ML ecosystem.Handson experience with Generative AI (LLMs, prompt engineering, RAG, embeddings).Working knowledge of Machine Learning and Deep Learning fundamentals.Familiarity with NLP and Transformer-based architectures.Experience developing REST/APIs and integrating AI models into applications.Awareness of application scaling and performance considerations.Some handson experience with Microsoft Azure cloud services.Some experience in deploying models/services to production environments.Ideally, youll alsoExposure to Agentic AI concepts (tool/function calling, agent workflows).Familiarity with frameworks such as LangChain, LlamaIndex, or Semantic Kernel.Exposure to vector databases (e.g., Pinecone, FAISS, Azure AI Search).Basic familiarity with MLOps/LLMOps practices.Exposure to Docker, CI/CD pipelines, and containerized deployments.Exposure to Azure AI/OpenAI services or Azure ML.Experience working in Agile/Scrum delivery environments.What We Look ForGood verbal and written communication skills.Ability to explain technical work clearly within the team.Eagerness to learn, take ownership, and grow technically.Strong problemsolving and analytical thinking.Collaborative team player who can work effectively with senior engineers.Attention to detail and a qualityfocused mindset.What We Offer YouAt EY, well develop you with futurefocused skills and equip you with worldclass experiences. Well empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. We are an equal opportunity employer and are committed to Diversity, Equity & Inclusion. The OpportunityWe are looking for a Staff AI Engineer with 2-4 years of overall experience to contribute to building and deploying AI-driven products and services. The ideal candidate is handson with Python and Generative AI, and has a working foundation in Machine Learning, Deep Learning, NLP, and Transformer architectures. This is a handson, growthoriented position with strong learning opportunities. Your Key ResponsibilitiesWork closely with senior engineers to develop features, build and integrate APIs, and support the deployment and scaling of AI solutions.Contribute to building and deploying AI-driven products and services.Develop REST/APIs and integrate AI models into applications.Support deployment of models/services to production environments.Participate in application scaling and performance optimization efforts.Leverage Microsoft Azure cloud services for AI solution delivery.Skills and Attributes for SuccessBachelor's or masters degree in computer science, Data Science, Artificial Intelligence, Engineering, or a related field.2-4 years of overall handson experience in software/AI engineering (not limited to Generative AI).Demonstrated experience contributing to AI/ML projects or applications.Strong proficiency in Python and its AI/ML ecosystem.Handson experience with Generative AI (LLMs, prompt engineering, RAG, embeddings).Working knowledge of Machine Learning and Deep Learning fundamentals.Familiarity with NLP and Transformer-based architectures.Experience developing REST/APIs and integrating AI models into applications.Awareness of application scaling and performance considerations.Some handson experience with Microsoft Azure cloud services.Some experience in deploying models/services to production environments.Ideally, youll alsoExposure to Agentic AI concepts (tool/function calling, agent workflows).Familiarity with frameworks such as LangChain, LlamaIndex, or Semantic Kernel.Exposure to vector databases (e.g., Pinecone, FAISS, Azure AI Search).Basic familiarity with MLOps/LLMOps practices.Exposure to Docker, CI/CD