This role involves working as a software engineer specializing in AI-assisted transformations across various industries. You will collaborate with diverse teams to enhance engineering practices and lead the development of scalable applications while mentoring other engineers.

• Bachelor’s in Computer Science or a related technical field; or equivalent work experience.
• 10+ years of experience with full-stack development.
• 6+ years of experience with micro-service API development (e.g., RESTful, GraphQL, gRPC).
• 4+ years of experience in consulting.
• 2+ years of experience leading or managing development teams.
• 1+ years of experience with AI tools (Cursor, Claude Code, etc.).
• Strong knowledge in development best practices (automated testing frameworks, CI/CD).
• Strong computer science fundamentals in data structures, algorithms, and object-oriented programming.
• Deep understanding of large language models (LLMs) and transformer architectures.
• Strong Python proficiency for AI development.

• Drive client improvements in AI-assisted or AI-led maturity across people, process, and technology.
• Mentor and coach developers to improve productivity through adoption of AI tools.
• Lead in designing, developing, and documenting AI applications aligned to business outcomes.
• Develop prompt engineering strategies and optimize model inference latency and cost.
• Lead cross-functional teams to develop and deploy production quality code for clients.
• Translate business requirements into technical requirements and implementation details.
• Design integrations with third-party systems to enable use cases that power business solutions.

• 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.