AI Engineering Intern

Job Summary

Join Bain’s AI, Insights & Solutions team as an AI Engineering Intern to design and develop generative AI applications and agentic solutions for clients. You will work alongside experienced engineers, consultants, and data scientists, gaining hands-on exposure to the full AI development lifecycle from prototyping through production deployment.

Responsibilities

• Contribute to the design and development of generative AI applications including copilots, workflow automation, and decision support systems using modern LLM stacks
• Support implementation of AI pipeline components including Retrieval-Augmented Generation (RAG), fine-tuning, embedding generation, and hybrid retrieval strategies
• Assist in building agent capabilities including context engineering, memory and state management, orchestration, and tool integration
• Write clean, testable code and contribute to APIs and services through the full software development lifecycle: build, test, deploy, monitor, and iterate
• Support model experimentation, evaluation design, and production deployment tasks alongside senior team members
• Contribute to evaluation and observability for generative AI systems including regression test suites, automated scoring, and prompt iteration loops
• 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

Requirements

• 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
• 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 including context management, tool integration, orchestration, and memory/state handling; hands-on experience preferred
• Strong engineering practices including testing, code review, version control, CI/CD, and performance profiling
• Fluency in English and Arabic is required
• Excellent interpersonal and communication skills with interest in applying AI to real-world business problems in a client-facing environment
• Strong academic performance or demonstrated excellence through research, projects, internships, competitions, or open-source contributions

What the company offers

• Learning-first role with hands-on exposure to the full AI development lifecycle from prototyping through production deployment
• Close mentorship from experienced engineers, consultants, and data scientists with frequent feedback and increasing responsibility over time
• Opportunities to collaborate with major AI ecosystem partners through Bain’s partnerships on real client deployments
• Minimum of three days per week working in person at a client location or Bain home office
• Travel may be required beyond your home office based on project needs

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