Associate

About Us:Bain & Company is a global consultancy helping ambitious change makers define the future with offices in 40 countries.

Since our founding, we have measured success by client results and maintain high advocacy for clients. In India, operations are led through BCN (Bain Capability Network), an integral unit supporting analytics and research across industries including Retail.WHO YOU'LL WORK WITH:The Retail Center of Expertise collaborates with Bain's global Retail Practice leadership on strategic questions relating to category management, COGS optimization, pricing & promotion analytics and customer analytics. You will work as part of the team in Retail CoE comprising of a mix of Director, Managers, Projects Leads, Associates and Analysts.WHAT YOU'LL DO:

• Design, build, and deploy agentic AI systems and LLM-powered applications that automate complex analytical and business workflows for Retail clients.
• Develop and orchestrate multi-agent workflows using frameworks such as LangGraph, LangChain, and the Azure AI Agent Service—integrating tools, memory, and reasoning loops.
• Build and optimize retrieval-augmented generation (RAG) pipelines, combining vector search with Neo4j knowledge graphs and graph databases.
• Engineer, evaluate, and fine-tune prompts and LLMs, implementing guardrails, evaluation harnesses, and human-in-the-loop feedback for accuracy and safety.
• Develop backend APIs and services (Python, FastAPI) to serve AI models and agents into production applications.
• Build pipelines using Docker, CI/CD, and Git for continuous deployment on cloud platforms (Azure / GCP/ AWS).
• Implement observability, logging, and evaluation to monitor model quality, latency, and drift of agentic systems in production.
• Develop complex data transformation queries and workflows using SQL, Pandas, or PySpark to process and manipulate large-scale datasets.
• Collaborate with product managers, software developers, and consulting teams to translate business problems into robust, scalable AI solutions.

The Associate is expected to have a knack for seeking out challenging problems and producing their own ideas. They must have excellent coding skills and should demonstrate a willingness to write modular, reusable, and functional code.ABOUT YOU:

• A Master's or Bachelor's degree in Computer Science, Engineering, or a related field is preferred
• 2–4 years of experience in AI engineering, software development, and building and deploying production AI systems.
• Hands-on experience designing agentic AI systems and multi-agent workflows using frameworks such as LangGraph, LangChain, or Azure AI Agent Service.
• Experience developing LLM-powered applications and retrieval-augmented generation (RAG) pipelines with vector databases and embedding-based retrieval.
• Proficiency in Python and building backend APIs (FastAPI) to serve models and agents in production.
• Solid grasp of prompt engineering, model evaluation, guardrails, and responsible-AI practices.
• Experience with Docker, CI/CD, cloud platforms (Azure, GCP or AWS), and Git/GitHub
• Expertise in data transformation and manipulation using Pandas, SQL, or PySpark, with experience handling large-scale datasets.