Senior Associate - AI Engineer (PEG Alpha)
Bain & Company · New Delhi, India · 1h ago
About us
Bain & Company is a global management consulting firm 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 you will work with
BCN Private Equity Group CoE at Bain & Company provides specialized support to global teams across the private equity value chain, enabling clients to make key investment decisions. Our expertise lies in addressing critical diligence questions through a range of products such as survey analytics, digital diagnostic, workforce analytics and disruption assessment. Our teams work in a fast-paced environment delivering consistent and impactful results at scale. In the last decade, we have witnessed an exponential growth, reaching >250 members today from ~10 members in 2013. We operate from 3 locations – 2 in India and 1 in Poland, and operate across all 3 regions (EMEA, Americas and APAC). BCN PEG provides an opportunity to solve challenging business problems in a dynamic set-up working closely with global Bain teams, acting as a thought-partner with daily deliverables.
What you’ll do
We are looking for a talented and driven Senior Associate – BCN PEG Americas - Alpha Agentic Factory to join the Bain Capability Network. You will own AI products end to end, from technical scoping through production, 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.
- 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 applications
- Develop responsive, high-quality frontend interfaces using React and TypeScript
- Collaborate on designing multi-agent architecture and orchestration systems
- Build and maintain scalable APIs and microservices to power AI applications
- Ensure production-quality, well-tested, maintainable code across the stack
- Contribute to CI/CD pipelines, containerization (Docker), and cloud deployments
- 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
- Own AI products end to end, from technical scoping and architecture through build, launch, adoption, and iteration
- Engineering support for pilot AI tools on cases requirements, solution options, effort estimates, and delivery plans
- Partner with senior engineers and architects to align technical directions
- Participate in agile delivery cycles, sprint planning, and technical reviews
About you:
- 4-6 years of experience in full stack software engineering, including 1-2+ years building and shipping LLM/GenAI applications
- Hands-on experience building and shipping production-grade web applications end-to-end
- Experience owning a product or major feature, including technical scoping, estimation, and delivery with non-technical stakeholders
- Proven track record of working in fast-paced, ambiguous environments — startups, consulting, or innovation teams preferred
- Exposure to private equity, management consulting, or data-driven business environments is a plus
Technical Skills — Required
- Python (FastAPI / Flask), React & TypeScript, GenAI / LLM Ecosystems, RAG Pipelines & Agents, Vector DBs & Embeddings, REST APIs & Microservices, SQL / NoSQL Databases, Git & Modern Dev Workflows, Docker & CI/CD Basics
- Cloud platforms: AWS, Azure, or GCP
- LLMOps, evaluation frameworks, and AI observability tooling
- Multi-agent systems and AI orchestration frameworks (e.g. Google ADK, LangGraph, CrewAI, AutoGen)
- Experience with AI-assisted development tools (e.g. Cursor, Copilot, Claude Code)
- Familiarity with Kubernetes and infrastructure-as-code
- Familiarity with agent development patterns, such as agent harnesses and skill and tool design, using managed agent platforms or frameworks (e.g. Claude Managed Agents, Claude Agent SDK, LangChain)
Soft Skills & Mindset
- 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, experimentation, and pragmatic problem-solving
Languages
- Required: Professional proficiency in English
Education
- Required: Bachelor’s degree in computer science, Engineering, or related field
- Preferred: Master’s degree in computer science, AI, Data Science, or related field
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, a champion of diversity, and a model of social responsibility. We are a Glassdoor Best Place to Work, and we have maintained a spot in the top four since its founding in 2009. We believe that diversity, inclusion, and collaboration are 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.