Expert LLMOps / AI Engineering H/F
Ernst and Young26 days ago
Paris, FranceMid Level / Senior
Responsibilities
- Develop generative AI applications based on large language models.
- Design RAG pipelines covering document ingestion, embeddings, vector search, retrieval, ranking, and generation.
- Integrate models through APIs and cloud platforms.
- Create APIs, backend services, and application interfaces.
- Implement testing, evaluation, monitoring, and logging.
- 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.
- Build practical, responsible, and industrializable AI solutions for clients and end users.
Requirements
- Relevant experience in software engineering, data engineering, or machine learning engineering, followed by GenAI application development.
- 3 to 7 years of relevant professional experience.
- Proficiency in one or more of Python, FastAPI, TypeScript, or Node.js.
- Familiarity with LangChain, LlamaIndex, Semantic Kernel, or equivalent frameworks.
- Experience with Azure OpenAI, OpenAI API, Mistral, Anthropic, AWS Bedrock, or Google Vertex AI.
- Familiarity with vector databases and search technologies including Azure AI Search, pgvector, Pinecone, Weaviate, Elasticsearch, or OpenSearch.
- Knowledge of Docker, GitHub Actions, Azure DevOps, or GitLab CI and CI/CD practices.
- Experience or interest in using Cursor, Claude Code, or Codex.
- Experience developing a GenAI application used by real users is preferred.
- Ability to evaluate LLM response quality and awareness of security, confidentiality, and hallucination risks.
- Ability to use AI as a development accelerator while maintaining code quality.
Benefits
- Flexible working environment through Smartworking@EY.
- International mobility opportunities and collaboration with globally connected teams.
- Annual discretionary bonus, profit-sharing bonus, RTT days, advantageous health insurance, and meal voucher card.
- Reimbursement of 75% of public transportation subscriptions or financial assistance for bicycle purchases.
- Referral bonuses, discounted Wellpass sports membership, free entry to several museums, and privileged access to the Paris Opera.
- Recruitment 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.