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Senior Associate – Full Stack AI Engineer

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Onsite

Senior Associate – Full Stack AI Engineer

Bain & Company

Senior Associate – Full Stack AI Engineer

Skills

Google Cloud PlatformReactNodeTypescriptFlaskPythonMicroservicesData AnalysisAIAWSKubernetesFastAPIAzure

2 months ago

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Important information


Contract type:

Permanent

Work mode:

Onsite

Published on:

7 August 2026

What they need


About us

Bain & Company is a global management consulting that helps the world’s most ambitious change makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry.

In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services.

Who are we

We are looking for a talented and driven Senior Associate - Full Stack AI Engineer to join Bain's Bain Capability Network - Data Business COE. You will be a core contributor building the next generation of AI-powered products and intelligent workflows that transform how Bain's global consulting teams work.

This role sits at the intersection of cutting-edge AI development and full stack engineering. You will work alongside senior engineers, data scientists, and consulting teams to rapidly prototype and scale AI solutions — from LLM-powered applications to agentic systems — in a fast-paced, high-impact environment.

What you’ll do

  • Build and integrate LLM-powered features: RAG pipelines, AI agents, and intelligent workflows
  • Develop GenAI capabilities including prompt engineering, embeddings, memory systems, and evaluation
  • Implement backend services in Python (FastAPI) to support AI application
  • Collaborate on designing multi-agent architectures and orchestration systems
  • Develop responsive, high-quality frontend interfaces using React and TypeScript
  • Build and maintain scalable APIs and microservices to power AI applications
  • Ensure production-quality, well-tested, maintainable code across the stack
  • Rapidly prototype AI-powered tools and MVPs to validate ideas with consulting teams
  • Iterate quickly on feedback and help scale successful prototypes to production
  • Experiment with emerging AI frameworks, models, and techniques
  • Work closely with consulting teams and domain experts to understand business problems
  • Partner with senior engineers and architects to align on technical direction.
  • Participate in agile delivery cycles, sprint planning, and technical reviews
  • Document solutions and share learnings across global engineering teams

About you

  • A Bachelor’s or Master’s degree in Computer Science or related field
  • 5-8 years of experience in Python, Fast API, Flask, React, Typescript, Gen AI & LLM Ecosystems.
  • Cloud platforms: AWS, Azure, or GCP
  • LLMOps, evaluation frameworks, and AI observability tooling
  • Multi-agent systems and AI orchestration frameworks (e.g. LangGraph, CrewAI, AutoGen)
  • Experience with AI-assisted development tools (e.g. Cursor, Copilot, Claude Code)
  • Familiarity with Kubernetes and infrastructure-as-code
  • Strong ownership mentality — you ship things and take pride in quality
  • Comfortable working with ambiguity and translating loosely defined problems into working solutions
  • Collaborative team player who communicates clearly across technical and non-technical audiences
  • Curious and proactive learner who stays current with the AI/GenAI landscape
  • Entrepreneurial energy with a bias for action and pragmatic problem-solving

What makes us a great place to work

We are proud to be [1] consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for [2] diversity and inclusion, women, LGBTQ and parents.

References

Visible links

  1. http://www.bain.com/about/what-we-do/awards/index.aspx

  2. https://www.bain.com/about/diversity-inclusion/

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