AI Engineer
About the job
- Advanced proficiency in Python for backend engineering of web applications and AI/ML model development.
- Experience deploying AI agents capable of planning, reasoning, and executing complex tasks with minimal human intervention.
- Experience integrating advanced search or vector databases, such as Pinecone, for retrieval-augmented generation.
- Experience with AWS services such as EC2, EKS, S3, and Lambda; Docker or Kubernetes; and Terraform or other infrastructure-as-code tools.
- Strong understanding of data workflows and distributed computing frameworks for large-scale data ingestion, preprocessing, and feature engineering.
- Several years of hands-on experience building and deploying machine learning or natural language processing solutions in a production environment.
- Ability to create business value by applying machine learning algorithms and methods to complex, real-world scenarios.
- Ability to operate independently, take ownership, and drive projects to completion in a dynamic environment.
- Comfort with rapid iteration, changing strategies, and learning new technologies.
- Strong verbal and written communication skills for collaborating with technical and non-technical stakeholders.
- Ability to mentor junior team members, lead complex initiatives, and foster collaboration.
- A BS or MS in Computer Science, Data Science, Machine Learning, or a related technical field.
- Design, build, fine-tune, and deploy AI models and agentic applications for varied business use cases.
- Work with business users to gather requirements, communicate technical approaches, and deliver actionable insights.
- Implement best practices for evaluating AI application accuracy, latency, and scalability, and optimize costs.
- Establish robust data-processing pipelines and ensure high-quality labeled datasets for training and inference.
- Stay informed about AI research and innovations, and explore emerging methods, tools, and frameworks to drive continuous improvement.
- Provide guidance to junior engineers and data scientists and lead internal training sessions on AI best practices.
- Collaborate with colleagues to shape the roadmap for AI-based products and capabilities.
- Familiarity with machine-learning CI/CD pipelines, experiment tracking tools such as MLflow or Weights & Biases, and model deployment.
- Experience deploying and optimizing traditional machine-learning models such as XGBoost or scikit-learn.
- Working knowledge of React or similar frameworks for building user-facing AI-driven applications.
About the company
Bain Capital is a private investment firm that manages multiple asset classes including private equity, venture capital, public equity, credit, and real estate. It works by making long-term investments in companies across a wide range of industries and geographies, and then actively partnering with the management teams of portfolio companies to drive growth and improve operations over time. The firm uses a long-term investment horizon and an active-ownership approach to build value for its investors. What sets Bain Capital apart is its multi-asset scale and global presence, combined with hands-on collaboration with portfolio companies and a strong emphasis on social responsibility through charitable initiatives. The goal is to deliver sustained, long-term value for investors and partners while contributing to communities through its charitable programs.
Company Size
1,001-5,000
Company Stage
N/A
Total Funding
$18.2B
Headquarters
Boston, Massachusetts
Founded
1984
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Simplify's Take
What believers are saying
- Kahua valued above $1 billion on September 29, 2026, validates Bain's AI-industrial thesis.
- Bain is bidding for Koch's Edged data centers, targeting a $15 billion platform.
- EcoCeres's planned $1 billion Hong Kong IPO expands Bain-backed monetization optionality.
What critics are saying
- PowerSchool litigation can establish parent-liability precedent that damages Bain's entire control model.
- New World Development carries HK$143 billion debt, and Bain's talks face control disputes.
- Manappuram triggered RBI scrutiny in February 2026, showing regulator resistance to control structures.
What makes Bain Capital unique
- Bain Capital spans private equity, credit, tech, and real estate across cycles.
- October 2026 deals span Kahua, SOLitude, BlueWater Marinas, and AAR-MRO.
- Its private credit group announced $6 billion of financings for first-half 2026.
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Benefits
- Professional Development Budget
- Conference Attendance Budget