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Senior Full Stack AI Product Engineer

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: Bain & Company, Inc.
Full Time position
Listed on 2026-10-04
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Full Stack Developer
Salary/Wage Range or Industry Benchmark: 128000 - 153750 USD Yearly USD 128000.00 153750.00 YEAR
Job Description & How to Apply Below
WHAT MAKES US A GREAT PLACE TO WORK

We are proud to be consistently recognized as one of the world’s best places to work. We are currently the top ranked consulting firm on Glassdoor’s Best Places to Work list and have earned the #1 overall spot a record seven times.

Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.

WHO YOU’LL WORK WITH

As the premier consulting partner for the private equity industry, Bain's PEG boasts a global practice that is over three times larger than any competitor. Our network of over 1,000 professionals supports private equity and institutional investor clients through every stage of the investment life cycle, from deal generation and due diligence to portfolio value creation and exit planning.

Bain & Company is developing a suite of cutting-edge data and software solutions designed to revolutionize how the private equity industry uses data for investment insights and decision-making.

The PEG Innovation team's mission is to create analytical solutions for Bain clients, teams, and the broader institutional investor space using proprietary software and data products. This includes the development, commercialization, and daily management of Bain's proprietary datasets, data, and software businesses.

WHERE YOU’LL FIT WITHIN THE TEAM

Senior Full-Stack AI Product Engineers design, build, and operate end-to-end AI product experiences across the PE due diligence platform, hosted on Microsoft Azure. This role sits at the intersection of product engineering and applied AI, combining strong full-stack software engineering with deep practical knowledge of how LLMs and agentic systems behave in production.

WHAT YOU'LL DO

You will own intelligent product features from backend orchestration through frontend experience, building the services, workflows, and user interfaces that make AI useful, reliable, and intuitive for end users. This includes designing agent workflows, retrieval pipelines, evaluation gates, human-in-the-loop review patterns, and the analyst-facing experiences that surface them. You are deeply technical about production-grade AI systems, but equally strong in translating non-deterministic model behavior into clear, trustworthy, and effective product experiences.

You will mentor other engineers, raise standards for AI product engineering, and help define how Bain builds safe, observable, and scalable AI-powered workflows.

Full-Stack AI Product Engineering (60%)
  • Design and 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, commercial due diligence research, document extraction, and portfolio monitoring.
  • Build responsive, high-quality frontend experiences for streaming AI responses, structured outputs, source grounding, review and approval flows, and human-in-the-loop interactions.
  • Implement full-stack application patterns for chat, copilot, workspace, and review-based AI experiences, including state management, real-time updates, and error handling.
  • Partner closely with Product, Design, and domain stakeholders to translate ambiguous AI capabilities into intuitive, polished user experiences.
  • Design and maintain stable contracts between frontend applications and AI/backend services, ensuring outputs are structured, testable, and resilient.
  • Build contribution workflows and…
Position Requirements
10+ Years work experience
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