The applications for this internship program will be open until June 30.
WHO YOU’LL WORK WITH
You’ll join our AI Engineering experts within the AI, Insights & Solutions team. This team is part of Bain’s digital capabilities practice, which includes experts in analytics, engineering, product management, and design. In this multidisciplinary environment, you’ll leverage technical expertise with business acumen to help clients tackle their most transformative challenges. You’ll work on integrated teams alongside Bain consultants, other experts, and clients to develop data-driven strategies and innovative solutions. Together, we create human-centric solutions that harness the power of data and artificial intelligence to drive competitive advantage for our clients.
WHERE YOU’LL FIT WITHIN THE TEAM
As an AI Engineer Intern, you will support the design, development, and delivery of AI-powered applications for enterprise use cases. You’ll work closely with Data Scientists, Software Engineers, Machine Learning Engineers, Data Engineers and broader Bain teams to help turn ambiguous business problems into practical AI solutions that can be tested, improved, and adopted.
This internship is designed for someone who is excited to build with modern AI tools, learn from experienced engineers, and contribute to real client-facing work. You’ll gain exposure to GenAI applications, agentic workflows, retrieval and search systems, evaluation methods, and the engineering practices required to move ideas from prototype toward production-ready solutions.
WHAT YOU’LL DO
As an AI Engineer Intern, you will:
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Support the development of GenAI applications, such as copilots, workflow automation tools, decision-support applications, and AI-enabled knowledge systems
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Help the team build and test LLM-powered features, including prompt workflows, retrieval-augmented generation, tool integrations, and structured outputs
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Contribute to agentic AI workflows where appropriate, supporting multi-step task execution, human-in-the-loop controls, routing, and tool use
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Assist the team with search, retrieval, and knowledge pipeline development, including vector search, metadata design, document processing and relevance testing
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Help design and run evaluations for GenAI systems, including test cases, quality checks, prompt comparisons, regression testing, and performance tracking
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Work with data, APIs, and enterprise systems to support model development, application performance, and client use cases
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Write clean, maintainable code with guidance from the team, while participating in standard engineering practices such as version control, testing, documentation, and code reviews
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Collaborate with Bain consultants, designers, product experts, engineers, and client stakeholders to translate business needs into practical technical solutions and communicate progress, learnings, and recommendations clearly
ABOUT YOU
We’re looking for someone who is curious, collaborative, and excited to build AI solutions that create real business impact.
Required:
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Enrolled in a Computer Engineering, Computer Science, or related undergraduate program
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Expected graduation in 2027.1 or 2027.2
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Programming skills in Python
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Interest in building GenAI or LLM-powered applications
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Understanding of software engineering fundamentals, including testing, version control, APIs, and clean code practices
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Ability to work with structured and unstructured data
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Strong problem-solving skills and comfort working through ambiguity
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Clear communication skills, with the ability to explain technical ideas to different audiences
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Ability to work effectively in a collaborative, multidisciplinary team environment
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English fluency
