The AI Engineering Intern role at Bain for Summer 2027 focuses on contributing to the design and development of generative AI applications and solutions for clients. Interns will work alongside experienced engineers, consultants, and data scientists, gaining hands-on exposure to the full AI development lifecycle. This position emphasizes learning through real project work, mentorship, and increasing responsibility. Interns will also have opportunities to collaborate with major AI ecosystem partners and contribute to real client deployments.

• 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.
• 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.
• Experience building complex, multi-stack generative AI programs from conception through production.

• Contribute to the design and development of GenAI applications using modern LLM stacks.
• Support the implementation of AI pipelines and components, including Retrieval-Augmented Generation and fine-tuning.
• Assist in building agent capabilities including context engineering and memory management.
• Write clean, testable code and contribute to APIs and services through the full software development lifecycle.
• Collaborate with product, engineering, and data science teammates to build reliable AI systems.

• Employees at Bain are often offered comprehensive health coverage for employees and families, including mental, emotional, and behavioral health resources, with access to counseling, coaching, fitness, and fertility support (varies by location), plus strong financial protection (life, accident, disability; some offices add critical illness), tax-efficient programs, retirement savings, and extras like travel insurance, transportation, and mobile phones. Flexible time off and accommodations include paid holidays, vacation, personal/sick time, part-time/reskilling options, multiple leave paths, and (U.S.) 21 weeks of family leave for all parents; a mentorship-driven culture provides lifecycle career support, training, tuition assistance, and connection to a 19k-member alumni network.