AI Data Engineer H/F
Ernst and Young16 days ago
Paris, FranceMid Level / Senior
Responsibilities
- Develop GenAI applications based on LLMs, including business assistants, augmented search engines, intelligent automations, copilots, AI agents, and AI-native applications.
- Design RAG pipelines covering document ingestion, embeddings, vector search, retrieval, ranking, and generation.
- Integrate models through APIs and cloud platforms and create APIs, backend services, and application interfaces.
- Implement testing, evaluation, monitoring, and logging for AI solutions.
- Continuously improve prompts, orchestration chains, and AI components.
- Integrate solutions with client information systems, IAM, APIs, document databases, and business tools.
- Use AI-assisted development tools to accelerate building, testing, and refactoring.
- Evaluate LLM response quality and develop applications used by real users while addressing security, confidentiality, hallucination, quality, transparency, and adoption concerns.
Requirements
- 3 to 7 years of relevant experience in software engineering, data engineering, machine learning engineering, and/or GenAI application development.
- Experience in software engineering, data engineering, or machine learning engineering with an interest in building concrete AI applications.
- Proficiency in one or more of Python, FastAPI, TypeScript, or Node.js.
- Knowledge of LangChain, LlamaIndex, Semantic Kernel, or equivalent frameworks.
- Experience with one or more of Azure OpenAI, OpenAI API, Mistral, Anthropic, AWS Bedrock, or Google Vertex AI.
- Familiarity with vector databases and search systems such as Azure AI Search, pgvector, Pinecone, Weaviate, Elasticsearch, or OpenSearch.
- Knowledge of CI/CD practices and tools including Docker, GitHub Actions, Azure DevOps, or GitLab CI.
- Use of or interest in using Cursor, Claude Code, or Codex.
- Ability to work hands-on across coding, testing, integration, delivery, and collaboration with demanding clients.
Benefits
- Flexible work environment through EY Smartworking.
- Opportunities to work with globally connected teams, discover other cultures, and participate in international mobility programs.
- Annual discretionary bonus, profit-sharing bonus, RTT days, advantageous health insurance, meal vouchers, and 75% reimbursement of public transportation or financial assistance for bicycle purchase.
- Referral bonuses, discounted Wellpass sports membership, free admission to several museums, and privileged access to the Paris Opera.
- Recruitment process includes three HR and business interviews conducted remotely and in person.
Tech Stack
Categories
About Ernst and Young
Ernst & Young (EY) provides audit/assurance, tax, consulting, strategy and transactions services to enterprises, financial institutions, and public‑sector clients. Structured as a global network of partner‑owned member firms, it sells professional services on a fee basis, including a dedicated Financial Services Organization for banking, insurance, and capital markets. Headquartered in London, EY was formed in 1989 from the merger of Ernst & Whinney and Arthur Young, and operates in 150+ countries.