Associate

The BCN PEG CoE (Private Equity Growth Center of Excellence) offers specialized support to global teams involved in the private equity value chain, assisting clients in making critical investment decisions. Our expertise spans a range of products designed to address key diligence questions, including survey analytics, digital diagnostics, workforce analytics, and disruption assessments. Our teams operate in a dynamic, fast-paced environment, consistently delivering impactful results at scale. Since 2013, our team has grown significantly from approximately 10 members to over 250 today. We operate across four locations: two in India, one in Poland, and one in Mexico, serving all three major regions: EMEA, the Americas, and APAC. Our work spans various industries, such as Technology, Consumer Products, Retail, and Healthcare. Joining BCN PEG provides an unparalleled opportunity to tackle complex business challenges within a dynamic setting, working closely with global Bain teams as a thought partner and leveraging deep technical expertise.

Responsibilities:

As an Associate (Tech) at BCN PEG, you will contribute specialized technical knowledge to the development of internal tools and support end-client delivery on cases. Your responsibilities will include:

• Designing, building, and maintaining AI-powered applications utilizing Large Language Models (LLMs), particularly OpenAI models, and associated technologies.
• Implementing Python-based API integrations with LLM platforms to facilitate use cases like summarization, classification, extraction, reasoning, and workflow automation.
• Developing sophisticated prompt engineering strategies and reusable prompt frameworks to ensure the reliability, accuracy, and scalability of AI-generated outputs.
• Constructing AI agents and tools capable of orchestrating multi-step workflows, tool calling, and seamless interaction with structured and unstructured data sources.
• Collaborating effectively with consultants and case teams to translate complex business problems into actionable AI solutions.
• Evaluating and experimenting with emerging AI frameworks, libraries, and tools for potential adoption and integration.
• Assisting supervisors with work planning, solution design, and brainstorming for AI-related initiatives.
• Ensuring all developed solutions are robust, secure, thoroughly documented, and adhere to Bain’s engineering and governance standards.
• Clearly communicating technical concepts and insights to non-technical stakeholders.
• Proactively engaging in self-directed learning to stay current with advancements in AI, LLMs, and applied machine learning.
• Contributing to knowledge sharing, documentation efforts, and internal training programs within the PEG and the broader BCN community.

Qualifications:

Must-Have Skills:

• Proficiency in Python and/or JavaScript/TypeScript programming.
• Hands-on experience with LLM APIs, such as OpenAI’s Responses API, including prompt design and response handling.
• A solid understanding of prompt engineering techniques, the inherent limitations of LLMs, and effective methods for enhancing output quality.
• Experience in building AI agents, workflows, or automation tools powered by LLMs.
• Familiarity with REST APIs and the integration of external services.
• Working knowledge of data structures, fundamental algorithms, and software engineering best practices.
• Experience with version control systems like Git.
• The ability to thrive in a fast-paced environment with evolving project requirements.
• Exceptional problem-solving and analytical thinking capabilities.
• Excellent English communication skills, with the ability to articulate technical ideas with clarity.

Good-to-Have Skills:

• Familiarity with modern front-end technologies such as Angular, React, and HTMX.
• Experience with AI orchestration frameworks like LangChain, LlamaIndex, or similar platforms.
• Exposure to vector databases and embeddings (e.g., FAISS, Pinecone, Chroma).
• A foundational understanding of machine learning concepts and Natural Language Processing (NLP).
• Familiarity with cloud platforms including AWS, Azure, or GCP.
• Experience in building internal tools, prototypes, or dashboards.
• A demonstrated interest in private equity, due diligence, or consulting problem-solving methodologies.
• The ability to produce clear technical documentation and user guides.

Educational & Professional Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a closely related field.
• Strong academic record, demonstrating excellent analytical and problem-solving skills.
• Work experience:
• For those with an Undergraduate degree: 2-4 years of experience in software development, AI engineering, or related domains.
• For those with a Postgraduate degree: 0-2 years of relevant experience.
• Prior exposure to consulting, analytics, or business problem-solving environments is advantageous but not essential.