Senior AI Product Engineer - Full-Stack

Bain & Company; Chicago (IL); Hybrid; USD 155,000 - 169,000; Full time

Benefits offered by this job

401(k) with employer contribution

Full medical/dental/vision coverage

Generous paid time off

Parental leave

Sick leave

Paid holidays

Life and long-term disability

Job summary

Bain & Company is seeking a Senior Full-Stack AI Product Engineer in Chicago to design, build, and operate end-to-end AI product experiences across the PE due diligence platform hosted on Microsoft Azure.

You will own intelligent features from backend orchestration to frontend experiences, mentor engineers, and help define scalable AI workflows with strong focus on usability and reliability.

Qualifications

• Bachelor's degree in CS, Engineering, or related field.
• 6+ years building production software and AI-enabled systems.
• Experience shipping AI features end-to-end in production.

Responsibilities

• Own end-to-end AI product features across backend services, orchestration layers, and frontend user experiences.
• Design agent workflows, retrieval pipelines, evaluation gates, HITL review patterns, and analyst-facing surfaces.
• Mentor engineers and raise standards for AI product engineering.
• Collaborate with Product, Design, and stakeholders to translate AI capabilities into usable experiences.
• Build and maintain AI platform services with production-grade observability and reliability.

Skills

Full-stack AI product eng

Production AI systems

Frontend engineering (React/Next.js)

Python & FastAPI

LangChain/LangGraph

Prompt engineering

Cloud & Kubernetes

Education

Bachelor’s degree in CS/Engineering

Tools

Docker

Kubernetes

Azure OpenAI Service

LangChain

LangGraph

FastAPI

Job description

Bain & Company is seeking a Senior Full-Stack AI Product Engineer in Chicago to design, build, and operate end-to-end AI product experiences across the PE due diligence platform hosted on Microsoft Azure.

You will own intelligent features from backend orchestration to frontend experiences, mentor engineers, and help define scalable AI workflows with strong focus on usability and reliability.