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Ernst & Young

Global professional services: consulting, assurance, tax

AI Engineer Intern

AI Application EngineeringConfirmed live in the last 24 hours
InternshipParis, FranceIn-person

About the Job

Requirements

  • Be a final-year student in an engineering school, university, or specialized program in computing, data, or artificial intelligence, seeking a final-year internship.
  • Have academic, internship, or personal-project knowledge in software engineering, data engineering, or machine learning.
  • Be proficient in one or more of Python, FastAPI, TypeScript, or Node.js.
  • Have initial experience or a strong interest in frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent solutions.
  • Have experimented with or wish to deepen use of generative AI models and platforms such as Azure OpenAI, OpenAI API, Mistral, Anthropic, AWS Bedrock, or Google Vertex AI.
  • Be familiar with vector databases such as Azure AI Search, pgvector, Pinecone, Weaviate, or Elasticsearch/OpenSearch.
  • Know modern development principles and ideally have used Git, Docker, CI/CD, GitHub Actions, Azure DevOps, or GitLab CI in projects.
  • Use or be interested in discovering AI-assisted development tools such as Cursor, Claude Code, or Codex.
  • Have a Bac+5-level background from an engineering or business school and initial experience or internship in software engineering, data engineering, machine learning engineering, and then generative AI application development.
  • Be curious about AI and willing to build concrete AI applications.
  • Be sensitive to security, confidentiality, and hallucination risks.
  • Use AI to accelerate development without compromising code quality.

Responsibilities

  • Develop generative AI applications based on large language models.
  • Design retrieval-augmented generation pipelines, including document ingestion, embeddings, vector search, retrieval, ranking, and generation.
  • Integrate models through APIs or cloud platforms.
  • Create APIs, backend services, and application interfaces.
  • Implement tests, evaluations, monitoring, and logs.
  • Continuously improve prompts, orchestration chains, and AI components.
  • Integrate solutions into client information systems, including identity and access management, APIs, document databases, and business tools.
  • Use AI-assisted development tools to accelerate building, testing, and refactoring.
  • Contribute to the design, development, and industrialization of generative AI solutions for clients, including business assistants, augmented search engines, intelligent automations, copilots, AI agents, and AI-native applications.

Desired Qualifications

  • Have already developed a generative AI application used by real users.
  • Know how to evaluate the quality of a large language model response.
  • Have used modern development tools and methods such as Git, Docker, CI/CD, GitHub Actions, Azure DevOps, or GitLab CI.

About the Company

Ernst & Young

Global professional services: consulting, assurance, tax

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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