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AI Engineer

A leading private multi-asset alternative investment firm with approximately $185 billion of assets under management.
Machine Learning
Mid-Level Software Engineer
In-Person
1,000 - 5,000 Employees
3+ years of experience
AI · Finance

Description For AI Engineer

Bain Capital, a prestigious investment firm managing $185 billion in assets, is seeking an AI Engineer to join their Data Science & AI team. This role offers a unique opportunity to develop and deploy AI solutions that directly impact investment decisions and firm-wide operations. The position combines technical expertise in AI/ML with business acumen, requiring close collaboration with investment teams to enhance decision-making processes.

The ideal candidate will work on end-to-end AI solutions, from data gathering and prompt engineering to model fine-tuning and production optimization. You'll be responsible for implementing AI best practices across the organization and shaping the roadmap for AI-based products. The role demands strong analytical skills, creativity in problem-solving, and an entrepreneurial spirit.

Working at Bain Capital means joining a culture of innovation and entrepreneurialism, with over 1,880 employees across 24 global offices. The firm emphasizes intellectual curiosity and collaborative problem-solving, providing opportunities to work on high-stakes projects that deliver measurable value. You'll be part of a team that values continuous learning and embraces cutting-edge technologies while maintaining high standards for both speed and quality.

The position offers exposure to complex, real-world scenarios in the investment industry, requiring expertise in Python, MLOps tools, RAG systems, and traditional ML models. Additional experience with cloud technologies, agentic AI systems, and frontend development is valued. This role presents an excellent opportunity for someone looking to apply their AI expertise in a dynamic, fast-paced financial environment while contributing to the firm's technological advancement.

Last updated 5 hours ago

Responsibilities For AI Engineer

  • Design, build, fine-tune, and deploy AI models and applications
  • Work with business users to gather requirements and communicate technical approaches
  • Implement performance evaluation of AI applications
  • Establish robust data processing pipelines
  • Stay informed about latest AI research and innovations
  • Provide guidance to junior engineers and lead internal training sessions

Requirements For AI Engineer

Python
Kubernetes
  • BS or MS in Computer Science, Data Science, Machine Learning, or related field
  • Several years of hands-on experience building and deploying ML/NLP solutions
  • Advanced proficiency in Python for backend engineering and AI/ML development
  • Experience with MLOps tools and CI/CD pipelines
  • Experience with RAG and vector databases
  • Strong understanding of data workflows and distributed computing
  • Experience deploying traditional machine learning models
  • Strong verbal and written communication skills
  • Proven ability to mentor junior team members

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