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About us Bain & Company is a global management consulting that helps the worlds 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 youll 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 Bachelors or Masters 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 Glassdoors 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/ .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.