Bain & Company is one of the world’s leading management consulting firms, renowned for its data‑driven approach and deep industry expertise. With a presence in over 60 cities worldwide, Bain helps Fortune‑500 companies solve complex strategic challenges and drive sustainable growth. In India, Bain has built a strong reputation for delivering high‑impact solutions across sectors such as private equity, technology, healthcare, and consumer goods. The firm’s culture emphasizes collaboration, continuous learning, and a results‑oriented mindset, making it an attractive destination for ambitious engineers who want to work at the intersection of technology and business. The Bain Capability Network (BCN) is a specialized unit that provides analytics, research, and technology services to Bain’s global consulting teams. Within BCN, the Private Equity Group (PEG) Centre of Excellence focuses on building sophisticated tools that enable consultants to extract insights quickly, automate repetitive tasks, and deliver data‑rich recommendations to private‑equity clients. The Associate – Back end Engineer (PEG) role sits at the heart of this ecosystem, developing scalable backend services, integrating large language models (LLMs), and creating data pipelines that power internal products and client‑facing solutions. **Role Summary** The Associate – Back end Engineer will design, develop, and maintain Python‑based backend applications that leverage LLM APIs, vector embeddings, and advanced data processing libraries. The role requires close collaboration with data scientists, product managers, and consulting teams to translate business requirements into robust, production‑grade services. Candidates will work on end‑to‑end feature development, from API design and database schema creation to deployment automation and performance monitoring. **Key Responsibilities** 1. Write clean, reusable, and testable Python code for scalable backend services. 2. Build and maintain RESTful APIs using FastAPI or Flask, ensuring proper validation, authentication, and error handling. 3. Integrate OpenAI or other LLM APIs to deliver summarisation, classification, and reasoning capabilities for internal tools. 4. Implement vector‑embedding pipelines and manage similarity‑search databases for retrieval‑augmented generation workflows. 5. Process large datasets with Pandas, NumPy, and XlsxWriter to generate analytical reports and Excel exports. 6. Design and interact with relational (MySQL, PostgreSQL) and non‑relational (MongoDB, Redis) databases, using ORM libraries where appropriate. 7. Containerise applications with Docker and contribute to CI/CD pipelines for automated testing and deployment. 8. Collaborate with cross‑functional teams to gather requirements, propose technical solutions, and document architecture decisions. 9. Evaluate emerging frameworks, libraries, and AI tools for potential adoption within the PEG team. 10. Mentor junior engineers and share knowledge through code reviews, brown‑bag sessions, and internal documentation. **Tech Stack**: Python, FastAPI/Flask, OpenAI LLM APIs, Pandas, NumPy, XlsxWriter, REST, ORM (SQLAlchemy), MySQL, PostgreSQL, MongoDB, Redis, Git, Docker, CI/CD (Jenkins/GitHub Actions), Linux. **Growth Path**: Starting as an Associate Engineer, high performers can progress to Senior Engineer, Technical Lead, and eventually Architecture or Product Management roles within BCN. Exposure to global consulting projects accelerates learning and opens opportunities for international assignments. **Why Join Bain?** Bain offers a unique blend of consulting impact and cutting‑edge technology work. Engineers get to solve real‑world business problems, collaborate with top‑tier consultants, and access world‑class mentorship. The firm invests heavily in professional development, provides competitive compensation, and fosters a supportive environment that values work‑life balance while encouraging innovation.