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Senior AI Developer (LLM, RAG, Azure)

EY · Caba

New
Senior 🇬🇧 English
Python Azure OpenAI Mistral Qwen RAG Prompt Engineering Auto-Gen LangGraph Scikit-learn TensorFlow Keras N-BEATS Azure Functions Docker GitHub Linux Java C++ Rust

Job description

About the role

EY GDS Digital Engineering is looking for a Senior AI Developer to join its EY Advisory Digital Engineering team. The role focuses on AI, machine learning, LLM-based solutions, RAG systems and cloud-native development, and offers the chance to help grow a new service offering within a global, multi-disciplinary team.

Key responsibilities

  • Design, develop and implement AI/ML solutions using LLMs, RAG architectures and prompt engineering best practices.
  • Build Python-based services, APIs and automation components for scalable AI applications.
  • Integrate Azure OpenAI, Mistral, Qwen and other model providers into enterprise solutions.
  • Design agentic AI workflows using Auto-Gen and LangGraph.
  • Train, validate and maintain ML/deep learning models with Scikit-learn, TensorFlow, Keras and N-BEATS.
  • Integrate data storage and retrieval via Azure Blob Storage, CosmosDB, MongoDB/NoSQL and SQL.
  • Deploy serverless and containerized components with Azure Functions, Docker and cloud-native practices.
  • Write unit tests, maintain code quality, use GitHub for version control and follow secure engineering practices such as Linux server hardening.
  • Collaborate with distributed teams and contribute reusable delivery assets.

Required profile

  • Bachelor's or master's degree.
  • Specialized Python development experience.
  • Hands-on experience with LLMs, Azure OpenAI, RAG systems and prompt engineering.
  • Experience with cloud-native development using Azure Functions and Azure storage/database services.
  • Experience building REST APIs and using GitHub, Docker and unit testing.
  • Understanding of secure engineering practices including Linux server hardening.
  • Ability to communicate technical conclusions in reports and presentations, work under agile delivery and collaborate with globally distributed teams.

Required skills

  • Python (expert), Azure OpenAI, Mistral, Qwen, RAG, prompt engineering, Auto-Gen, LangGraph, Scikit-learn, TensorFlow, Keras, N-BEATS
  • Azure Blob Storage, CosmosDB, MongoDB, SQL, Azure Functions
  • REST APIs, GitHub, Docker, Linux server hardening
  • Java, C++ and Rust

What we offer

  • Continuous learning and individually tailored coaching.
  • Flexibility to define your own success.
  • Leadership development with coaching and insights.
  • A diverse and inclusive culture.

Questions fréquentes

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Source : ats:successfactors

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Published 7 hours ago

Expires 1 month from now

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