AI Engineer

Bain; Gurugram District; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Bain is seeking an AI Engineer in India to design, build and deploy agentic AI systems and LLM-powered applications for Consumer Products clients. You will orchestrate multi-agent workflows, develop RAG pipelines, and leverage graph databases to power complex reasoning.

Strong Python and backend API skills are essential for production deployment on Azure. You will collaborate with cross‑functional teams, contribute to scalable AI solutions, and continuously improve model safety, evaluation, and

Qualifications

• Master’s degree or higher in Computer Science, Engineering, or a related field.
• 4–6 years of experience in AI/ML engineering and production AI systems.
• Hands‑on experience designing agentic AI systems and multi‑agent workflows using LangGraph, LangChain, or Azure AI Agent Service.
• Experience developing LLM‑powered applications and RAG pipelines with vector databases and embeddings.
• Strong Python and backend API skills (FastAPI/Django) for production.
• Experience deploying AI workloads on Azure and cloud deployment best practices.

Responsibilities

• Design, build, and deploy agentic AI systems and LLM‑powered apps for CP clients.
• Develop and orchestrate multi‑agent workflows using LangGraph, LangChain, and Azure AI Agent Service.
• Build and optimize RAG pipelines with vector search and graph databases.
• Model and query Neo4j/Cypher to power graph retrieval and reasoning.
• Engineer prompts, evaluate models, implement guardrails, and enable human‑in‑the‑loop checks.
• Develop Python/FastAPI services to serve AI models and agents in production.
• Deploy AI workloads on Azure (OpenAI, Foundry, AKS) and optimize cost/performance.

Skills

Agentic AI systems

LLM-powered apps

Python programming

FastAPI/Django

Multi-agent workflows

Prompt engineering

MLOps/LLMOps

Docker

CI/CD

Git

Azure AI & OpenAI

Graph knowledge modeling

Education

Master’s degree or higher in Computer Science / Engineering

Tools

LangGraph

LangChain

Azure AI Agent Service

Neo4j

Cypher

Python

FastAPI

Django

Azure OpenAI

Azure Kubernetes Service

Docker

CI/CD tooling

Git

PostgreSQL

Snowflake

Redis

Blob Storage

Job description

AI Engineer

Who You Will Work With

The Consumer Products Center of Expertise collaborates with Bains global Consumer Products Practice leadership, client-facing Bain leadership and teams, and end clients on the development and delivery of Bain’s proprietary CP products and solutions.

These solutions aim to answer strategic questions relating to brand strategy (consumer needs, assortment, pricing, distribution), revenue growth management (pricing strategy, promotions, profit pools, trade terms), negotiation strategy with key retailers, optimization of COGS, etc.

You will work as part of the team in CP CoE comprising a mix of Directors, Managers, Project Leads, Associates, and Analysts working to implement cloud-based end-to-end advanced analytics solutions.

Delivery models on projects vary from working as part of a CP Center of Expertise, broader global Bain case team within the CP ringfence, or within other industry CoEs such as FS, Retail, TMT, Energy, CME, etc., with BCN on a need basis.

About You

• A Master’s degree or higher in Computer Science, Engineering, or a related field; Bachelor’s candidates with relevant industry experience will also be considered.
• 4-6 years of experience in AI/ML 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.
• Working knowledge of graph databases (Neo4j, Cypher) for knowledge graphs, entity modeling, and graph‑based retrieval.
• Proficiency in Python and building backend APIs (FastAPI/Django) to serve models and agents in production.
• Hands‑on experience deploying AI workloads on Azure (Azure OpenAI, Azure AI Foundry, Azure ML) and cloud deployment best practices.
• Solid grasp of prompt engineering, model evaluation, guardrails, and responsible AI practices.
• Experience with Docker, CI/CD, and Git for MLOps/LLMOps workflows.
• Good to have: Exposure to PostgreSQL, Snowflake, and Azure resources such as Redis and Blob Storage.
• Good to have: Prior exposure to consulting projects or the CP (Consumer Products) business domain.

What You’ll Do

• Design, build, and deploy agentic AI systems and LLM‑powered applications that automate complex analytical and business workflows for Consumer Products clients.
• Develop and orchestrate multi‑agent workflows using frameworks such as LangGraph, LangChain, and 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.
• Model and query graph databases (Neo4j/Cypher) to represent complex entity relationships and power graph‑based retrieval and reasoning.
• 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.
• Deploy, scale, and operate AI workloads on Azure (Azure OpenAI, Azure AI Foundry, Azure Kubernetes Service), optimizing for performance, cost, and reliability.
• Build and maintain MLOps/LLMOps pipelines using Docker, CI/CD, and Git for continuous deployment and monitoring of AI services.
• Implement observability, logging, and evaluation to monitor model quality, latency, and drift of agentic systems in production.
• Collaborate with product managers, data scientists, and consulting teams to translate business problems into robust, scalable AI solutions.
• The Senior Associate is expected to have a knack for seeking out challenging problems and producing their own ideas, which they will be encouraged to brainstorm with their peers and managers.
• They should be willing to learn new techniques and be open to solving problems with an interdisciplinary approach.
• They must have excellent coding skills and should demonstrate a willingness to write modular, reusable, and functional code.

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 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 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.

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 diversity and inclusion, women, LGBTQ, and parents.