AI Engineering, Intern London

AI Engineering, Intern London Overview

Bain & Company is recognized as one of the world’s best workplaces, consistently ranking at the top of Glassdoor’s Best Places to Work list. We pride ourselves on creating extraordinary teams through a focus on diverse backgrounds, cultures, and experiences, fostering a supportive and inclusive environment where every individual can thrive.

The AI Engineering Intern will be part of Bain’s AI, Insights & Solutions (AIS) team, collaborating with multidisciplinary teams to design and deliver AI-powered solutions that generate measurable business impact. This role offers a unique opportunity to work alongside experienced engineers, consultants, and data scientists, gaining hands-on experience throughout the AI development lifecycle.

Key Responsibilities

• Assist in the design and development of generative AI applications such as copilots, workflow automation, and decision support using modern LLM stacks.
• Support the implementation of AI pipelines and components, including Retrieval-Augmented Generation (RAG), fine-tuning, embedding generation, and hybrid retrieval strategies.
• Help implement tool use, function calling, and orchestration across AI workflows.
• Contribute to building agent capabilities, including context engineering, memory and state management, and tool integration.
• Participate in model experimentation, evaluation design, and production deployment tasks alongside senior team members.
• Write clean, testable code and contribute to APIs and services throughout the software development lifecycle (SDLC).
• Contribute to evaluation and observability for generative AI systems, including regression test suites and automated scoring.
• Gain exposure to responsible AI practices in system design, including implementing guardrails and understanding Bain’s Responsible AI standards.
• Contribute to machine learning solutions end-to-end, including data preparation, feature engineering, model selection, and training.
• Collaborate with product, engineering, and data science teams to build reliable AI systems.
• Communicate effectively in working sessions, demos, and documentation for both technical and non-technical audiences.

Qualifications

• 0–2+ years of professional experience in AI or machine learning engineering, or equivalent experience through internships, research, or academic projects.
• Currently pursuing or recently completed a bachelor’s, master’s, or PhD in computer science, machine learning, artificial intelligence, data science, engineering, or a related quantitative field.
• Strong academic performance or demonstrated excellence through research, projects, internships, competitions, or open-source contributions.
• Proficiency in Python and experience building APIs or services, such as REST or gRPC.
• Experience in developing complex, multi-stack generative AI programs from conception to production.
• Familiarity with retrieval and search systems, including vector search and hybrid retrieval, as well as structured and unstructured data stores.
• Exposure to agentic patterns such as context management and tool integration, with hands-on experience preferred.
• Strong engineering practices, including testing, code review, version control, CI/CD, and performance profiling.
• Excellent interpersonal and communication skills, with an interest in applying AI to real-world business problems.
• Fluency in English is required.

Working Model

This role requires a minimum of three days per week working together in person, either at a client location or at your Bain home office. Travel may be required beyond your home office, with frequency and destination varying by project needs.

Degree Requirement: PhD

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