AI Engineer_Senior
Ernst and Young6 days ago
Milan, ItalyMid Level / Senior
Responsibilities
- Develop AI components for enterprise products and platforms, including agents, RAG pipelines, inference services, LLM orchestration, and model integrations.
- Implement application logic in Python, TypeScript, or equivalent languages with emphasis on quality, scalability, and maintainability.
- Integrate AI/ML APIs, cloud AI services, and custom models into application and cloud-native architectures.
- Collaborate with AI Architects and AI Data Scientists to turn models, prototypes, and technical specifications into production-ready components.
- Design AI modules and contribute to implementation patterns, interfaces, APIs, and integration logic.
- Perform testing, debugging, profiling, and performance optimization of AI components.
- Apply software engineering practices including code review, versioning, technical documentation, and test automation.
- Collaborate on CI/CD, deployment, monitoring, model versioning, packaging, configuration, release, and operational monitoring.
- Industrialize AI prototypes and contribute reusable components, templates, connectors, and accelerators to the internal AI Factory library.
- Work with multidisciplinary product and engineering teams and provide technical support and best practices to junior colleagues.
Requirements
- 3–5 years of experience in AI engineering, machine learning engineering, software engineering, or AI/ML solution development in enterprise or technology contexts.
- Strong knowledge of Python and major AI/ML frameworks such as PyTorch, TensorFlow, or scikit-learn.
- Experience with LLMs, RAG pipelines, embeddings, prompt engineering, model serving, or generative model integration.
- Experience developing and integrating REST APIs, application services, microservices, or cloud-native components.
- Familiarity with containerization, Docker, Kubernetes, and cloud deployment practices.
- Knowledge of MLOps principles and model lifecycle management, experiment tracking, or model monitoring tools.
- Ability to write clean, testable, documented, and reusable code.
- Ability to work in Agile and cross-functional teams with technical and product stakeholders.
- Good knowledge of English.
- Preferred experience with LangChain, LlamaIndex, Semantic Kernel, Azure AI, AWS Bedrock, AWS SageMaker, Google Vertex AI, Pinecone, Weaviate, FAISS, pgvector, MLflow, DVC, or Kubeflow.
- Preferred knowledge of distributed architectures, event-driven architecture, API gateways, microservices, Responsible AI, model evaluation, explainability, application security, and data protection.
- Cloud, AI/ML, or software engineering certifications and experience in consulting, enterprise, or product-centric environments are preferred.
Benefits
- More than 50 hours of technical and management training per year, plus AI-focused courses, events, and tools.
- Hybrid work with no centrally fixed office days and the possibility of working remotely from abroad for up to 20 days when not traveling.
- International mobility and access to a global professional network.
- Career development programs, leadership programs, and support from a Counselor from the first day.
- Employee benefits and varied corporate welfare programs.
- Inclusive workplace open to people with disabilities in accordance with Italian Law L.68/99.
- Employment is governed by the Italian Commerce Collective Labour Agreement, with level determined according to experience and professional profile.
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