Overview

Bain & Company is a global management consulting firm that helps the world’s most ambitious change makers define the future.

Responsibilities

• Design, build, and maintain AI-powered applications using LLMs (especially OpenAI Models) and related technologies
• Implement python-based API integrations with LLM platforms to enable use cases such as summarization, classification, extraction, reasoning, and workflow automation
• Develop prompt engineering strategies and reusable prompt frameworks to ensure reliability, accuracy, and scalability of AI outputs
• Build AI agents and tools that orchestrate multi-step workflows, tool calling, and interaction with structured and unstructured data sources
• Collaborate with consultants and case teams to translate business problems into practical AI solutions
• Evaluate and experiment with emerging AI frameworks, libraries, and tools for potential adoption
• Support supervisors in work planning, solution design, and brainstorming for AI initiatives
• Ensure solutions are robust, secure, well-documented, and aligned with Bain’s engineering and governance standards
• Communicate technical concepts and insights clearly to non-technical stakeholders
• Proactively drive self-learning in AI, LLMs, and applied machine learning
• Contribute to knowledge sharing, documentation, and internal training within the PEG and broader BCN community

Qualifications

• Strong programming skills in Python and/or JavaScript/TypeScript
• Hands-on experience working with LLM APIs such as OpenAI and Anthropic, including prompt design and response handling
• Ability to build evaluation sets, guardrails, and regression checks to measure, monitor, and safeguard the quality and reliability of LLM outputs
• Understanding of context engineering techniques, limitations of LLMs, and methods to improve output quality
• Familiarity with REST APIs and integrating external services
• Working knowledge of data structures, basic algorithms, and software engineering best practices
• Ability to work in a fast-paced environment with evolving requirements
• Strong problem-solving and analytical thinking skills
• Excellent English communication skills with the ability to explain technical ideas clearly
• Exposure to vector databases and embeddings (e.g., FAISS, Pinecone, Chroma)
• Basic understanding of machine learning concepts and NLP
• Familiarity with modern front-end technologies such as Angular, React and HTMX
• Familiarity with cloud platforms (AWS, Azure, or GCP)
• Ability to write clear technical documentation and usage guides
• Postgraduate degree: 0 - 2 years of relevant experience
• Prior exposure to consulting, analytics, or business problem-solving environments is preferred but not mandatory

Education

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
• Strong academic credentials, analytical ability, and problem-solving skills