Full Stack TypeScript Engineer, AI Products (DataEdge)
AI summary of the role
Full-stack TypeScript engineer building end-to-end AI product experiences for Bain's private equity due diligence ecosystem, owning TypeScript frontends and Node.js services while contributing to Python-based AI orchestration (LangGraph, FastAPI).
What you’ll do
- Build end-to-end AI product features across TypeScript frontends, TypeScript/Node.js backends, and Python AI orchestration layers.
- Develop analyst-facing AI interfaces for deal screening, due diligence research, document extraction, and portfolio monitoring.
- Implement agent workflows, RAG pipelines, evaluation gates, and human-in-the-loop review patterns.
- Contribute to Agent Gateway service and LangGraph workflows, integrating Temporal durable execution.
What you’ll bring
- 3+ years building production software, including full-stack applications or AI-enabled systems.
- Production TypeScript experience across frontend and backend (or significant backend depth); Python as secondary language.
- Experience with agentic systems (tool calling, multi-step workflows, RAG, structured output).
- Hands-on LangChain/LangGraph experience; familiarity with Temporal or similar durable execution.
Technologies
TypeScript · Node.js · Python · LangGraph · LangChain · FastAPI · Temporal · PostgreSQL · pgvector · Docker · Kubernetes · Azure
About Bain
Global management consulting partnership advising large enterprises and investors on strategy, performance, M&A, and AI-enabled transformation, with a distinctive results-tied, implementation-heavy model.
Bootstrapped
Source and classification
Internal deployment & tooling · Evidence for this classification:
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 Full-Stack TypeScript Engineer, AI Products build and deliver end-to-end AI product experiences across the PE due diligence ecosystem. This role sits at
More from the job description
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 insti [... source excerpt omitted ...] sits at the intersection of product engineering and applied AI, combining solid full-stack software engineering with practical knowledge of how LLMs and agentic systems behave in production. This role is TypeScript-first. Most of the analyst-facing product surfaces and Node.js services on the Workstream team are built in TypeScript, and we expect this engineer to own and extend that stack end-to-end. Python remains a strong co-requirement for the AI orchestration and pieces within our backend layer (LangGraph, FastAPI, agent services), so candidates must be comfortable working productively across both ecosystems even where TypeScript is their primary depth. You will build intell [... source excerpt omitted ...] ting agent workflows, retrieval pipelines, evaluation gates, human-in-the-loop review patterns, and the analyst-facing experiences that surface them. You are technically strong in production AI systems and capable of translating non-deterministic model behavior into clear, trustworthy product experiences with guidance from senior engineers. You will contribute to engineering standards, participate in code reviews, and grow your expertise in building safe, observable, and scalable AI-powered workflows. WHAT YOU'LL DO Full-Stack AI Product Engineering (65%) Build end-to-end AI product features across TypeScript frontend experiences, TypeScript/Node.js backend services, and Python
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