E

Ernst & Young

Global professional services: consulting, assurance, tax

Pilote / Product Owner Agentic AI Microsoft Expérimenté H/F

AI Application EngineeringUpdated on Nov 14
Full-timeParis, FranceIn-person

About the Job

Requirements

  • Experience in software engineering, data engineering, or machine learning engineering, with an interest in building practical AI applications.
  • Proficiency in one or more of Python, FastAPI, TypeScript, or Node.js.
  • Knowledge of LangChain, LlamaIndex, Semantic Kernel, or equivalent frameworks.
  • Previous work with Azure OpenAI, OpenAI API, Mistral, Anthropic, AWS Bedrock, or Google Vertex AI.
  • Familiarity with vector databases such as Azure AI Search, pgvector, Pinecone, Weaviate, or Elasticsearch/OpenSearch.
  • Knowledge of CI/CD practices and tools such as Docker, GitHub Actions, Azure DevOps, or GitLab CI.
  • Use of, or willingness to use, AI-assisted development tools such as Cursor, Claude Code, or Codex.
  • Three to seven years of relevant experience in software engineering, data engineering, or machine learning engineering, followed by development of GenAI applications.

Responsibilities

  • Develop GenAI 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.

Desired Qualifications

  • Experience developing a GenAI application used by real users.
  • Ability to evaluate the quality of a large language model response.
  • Awareness of security, confidentiality, and hallucination risks.
  • Ability to use AI to accelerate development without compromising code quality.

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

Recently Posted Jobs

Explore more opportunities at Ernst & Young

See more jobs