Associate- PEG (AI Solutions Engineer)
Bain & Company · New Delhi, India · 2d ago
About us
Bain & Company is a global management consulting firm that helps the world’s most ambitious change makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry.
In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services.
Who you will work with
BCN PEG CoE provides specialized support to global teams across the private equity value chain, enabling clients to make key investment decisions. Our expertise lies in addressing critical diligence questions through a range of products such as survey analytics, digital diagnostic, workforce analytics and disruption assessment. Our teams work in a fast-paced environment delivering consistent and impactful results at scale. In the last decade, we have witnessed an exponential growth, reaching >250 members today from ~10 members in 2013. We operate from 4 locations – 2 in India, 1 in Poland, and 1 in Mexico and operate across all 3 regions (EMEA, Americas and APAC). We work across industries, including Technology, Consumer Products, Retail and Healthcare. BCN PEG provides an opportunity to solve challenging business problems in a dynamic set-up working closely with global Bain teams, acting as a thought-partner and bringing deep technical expertise.
What you’ll do
As an Associate (Tech) at BCN PEG, you will bring specialized technical knowledge to product development of internal tools as well as help in end client delivery of cases. You will:
- 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
About you
Must-have skills:
- 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
- Experience building AI agents, workflows, or automation tools using LLMs
- 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
- Experience using version control systems such as Git
- 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
Good-to-have skills:
- Experience with AI orchestration frameworks (e.g., LangChain, LlamaIndex, or similar)
- 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)
- Experience building internal tools, prototypes, or dashboards
- Ability to write clear technical documentation and usage guides
Educational qualification & Professional experience
- 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
- Work experience range: Undergraduate degree: 2 - 4 years of experience in software development, AI engineering, or related roles
- Postgraduate degree: 0 - 2 years of relevant experience
- Prior exposure to consulting, analytics, or business problem-solving environments is preferred but not mandatory
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 is 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.