AI Engineering, - Intern
at Bain & Company
Business Consulting
About the job
- 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:
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- Retrieval-Augmented Generation (RAG)
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- Fine-tuning and parameter-efficient tuning
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- Embedding generation and optimization
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- 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:
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- Implementing guardrails, fallbacks, and human-in-the-loop (HITL) workflows
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- 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:
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- Data preparation, feature engineering, model selection, and training
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- Validation, testing, and performance analysis
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- Applying appropriate ML methods spanning classical ML and deep learning
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- 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
- 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: t esting, 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 is required
- 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 / primary working location. Frequency and destination vary by project needs.
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