Bain & Company is seeking a Full-Stack AI Product Engineer to develop end-to-end AI product experiences for the private equity sector. The role involves building intelligent product features, mentoring other engineers, and contributing to engineering standards in a collaborative environment focused on AI solutions.

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or a related field, or equivalent practical experience.
• 3+ years of experience building production software, including experience delivering full-stack applications and/or AI-enabled systems in production environments.
• Experience contributing to user-facing AI product features, from backend services through frontend implementation.
• Experience working with agentic systems in production or pre-production.
• Exposure to evaluation frameworks, including golden datasets, regression gates, or CI controls for quality assurance.
• Experience working with containerized environments such as Docker and Kubernetes.

• Build end-to-end AI product features across backend services, orchestration layers, and frontend user experiences.
• Develop analyst-facing and internal AI interfaces for workflows such as deal screening and document extraction.
• Implement full-stack application patterns for chat, copilot, and review-based AI experiences.
• Collaborate with Product, Design, and domain stakeholders to translate AI capabilities into intuitive user experiences.
• Contribute to engineering standards for production AI product engineering across testing, evaluation, documentation, and maintainability.

• 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.