Full-Stack Engineer AI-native H/F
Ernst and Young10 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 for AI solutions.
- Continuously improve prompts, orchestration chains, and AI components.
- Integrate solutions into client information systems, including IAM, APIs, document databases, and business tools.
- Use AI-assisted development tools to accelerate building, testing, and refactoring.
- Build concrete, useful, responsible, and industrializable AI solutions for clients and real users.
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 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, Docker, GitHub Actions, Azure DevOps, or GitLab CI.
- Experience using or willingness to use Cursor, Claude Code, or Codex.
- Experience developing a GenAI application used by real users is a differentiator.
- Ability to evaluate LLM response quality and awareness of security, confidentiality, hallucination, quality, transparency, and responsible AI concerns.
- Ability to use AI as a development accelerator without compromising code quality.
- Ability to work collaboratively with demanding clients and teams.
Benefits
- Flexible work environment through EY’s Smartworking@EY arrangement.
- 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, and meal vouchers.
- 75% reimbursement of public transportation subscriptions or financial assistance for bicycle purchase.
- Referral bonuses, preferential-rate Wellpass sports membership, free admission to several museums, and privileged access to the Paris Opera.
- Recruitment process consisting of three HR and business interviews conducted remotely and in person.
- Inclusive workplace and consideration of applicants with disabilities at equal qualifications.
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