GenAI Engineer Intern — Hands-on, In-Person Learning

Bain & Company; Paris; Sur place; EUR 12 000 - 19 000; Plein temps

Résumé du poste

Bain & Company in Paris is seeking an AI Engineering Intern to join the AIS team and help design generative AI applications. You will work with engineers, data scientists, and consultants on real client problems, from prototyping to production-ready deployments.

This learning-first role emphasizes mentorship, frequent feedback, and increasing responsibility as you contribute to GenAI pipelines, tooling, and integration across multi-stack architectures.

Qualifications

• 0–2+ years of professional AI / ML engineering experience, or equivalent through internships, research, academic projects, or open-source contributions
• Currently pursuing or recently completed a bachelor’s, master’s, or PhD in CS, ML, AI, Data Science, Engineering, or a related quantitative field; or equivalent early-career experience
• Strong academic performance or demonstrated excellence through research, projects, internships, competitions, or open-source contributions
• Proficiency in Python and some experience building APIs or services (e.g., REST/gRPC), or comparable project-based experience
• Experience building complex, multi-stack generative AI programs from conception through production
• Exposure to retrieval and search systems (e.g., vector search, hybrid retrieval, reranking) and familiarity with structured and unstructured data stores
• Exposure to agentic patterns (context management, tool integration, orchestration, memory/state handling); hands-on experience preferred
• Strong engineering practices: testing, code review, version control, CI/CD, and performance profiling
• Excellent interpersonal and communication skills; interest in applying AI to real-world business problems in a client-facing environment
• Fluency in English and French is required
• This role requires a minimum of three days per week working together in person, either at a client location or Bain home office.
• Travel may be required beyond your home office / primary working location. Frequency and destination vary by project needs.

Responsabilités

• Contribute to the design and development of GenAI applications (e.g., copilots, workflow automation, decision support) using modern LLM stacks.
• Support the implementation of AI pipelines and components, including:
• Retrieval-Augmented Generation (RAG)
• Fine-tuning and parameter-efficient tuning
• Embedding generation and optimization
• Hybrid retrieval strategies (vector, graph, keyword)
• Assist in implementing tool use, function calling, and orchestration across AI workflows
• Assist in building agent capabilities including context engineering, memory and state management, orchestration, and tool integration
• Support model experimentation, evaluation design, and production deployment tasks alongside senior team members
• Write clean, testable code and contribute to APIs and services through the full SDLC: build, test, deploy, monitor, iterate
• Contribute to evaluation and observability for GenAI systems: regression test suites, automated scoring, and prompt or policy iteration loops
• Gain exposure to responsible AI practices across system design, including:
• Implementing guardrails, fallbacks, and human-in-the-loop (HITL) workflows
• Understanding Bain’s Responsible AI standards and supporting alignment in your work
• Contribute to evaluation harnesses and reusable components that scale across client contexts
• Contribute to ML solutions end-to-end, including:
• Data preparation, feature engineering, model selection, and training
• Validation, testing, and performance analysis
• Applying appropriate ML methods spanning classical ML and deep learning
• Developing working knowledge of transformer fundamentals and LLM concepts
• Collaborate with product, engineering, and data science teammates to build well-structured, reliable AI systems
• Communicate clearly in working sessions, demos, and documentation—with both technical and non-technical audiences
• Support client discussions and documentation as part of broader engagement teams

Connaissances

Python

APIs/Services

GenAI systems

English & French

In-person collab

Research & experimentation

Formation

Bachelor’s/Master’s/PhD in CS/ML/Data Science

Outils

REST/gRPC

Python ecosystems

Description du poste

Bain & Company in Paris is seeking an AI Engineering Intern to join the AIS team and help design generative AI applications. You will work with engineers, data scientists, and consultants on real client problems, from prototyping to production-ready deployments.

This learning-first role emphasizes mentorship, frequent feedback, and increasing responsibility as you contribute to GenAI pipelines, tooling, and integration across multi-stack architectures.