Associate- PEG (AI Solutions Engineer)

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General Information Job Title Associate- PEG (AI Solutions Engineer) Job ID 107185 Work Areas Analytics, Data & Research Employment Type Permanent Full-Time Location(s) New Delhi Description & Requirements About usBain & 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 withBCN 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 technologiesImplement python-based API integrations with LLM platforms to enable use cases such as summarization, classification, extraction, reasoning, and workflow automationDevelop prompt engineering strategies and reusable prompt frameworks to ensure reliability, accuracy, and scalability of AI outputsBuild AI agents and tools that orchestrate multi-step workflows, tool calling, and interaction with structured and unstructured data sourcesCollaborate with consultants and case teams to translate business problems into practical AI solutionsEvaluate and experiment with emerging AI frameworks, libraries, and tools for potential adoptionSupport supervisors in work planning, solution design, and brainstorming for AI initiativesEnsure solutions are robust, secure, well-documented, and aligned with Bain’s engineering and governance standardsCommunicate technical concepts and insights clearly to non-technical stakeholdersProactively drive self-learning in AI, LLMs, and applied machine learningContribute to knowledge sharing, documentation, and internal training within the PEG and broader BCN community About youMust-have skills:Strong programming skills in Python and/or JavaScript/TypeScriptHands-on experience working with LLM APIs such as OpenAI and Anthropic, including prompt design and response handlingExperience building AI agents, workflows, or automation tools using LLMsAbility to build evaluation sets, guardrails, and regression checks to measure, monitor, and safeguard the quality and reliability of LLM outputsUnderstanding of context engineering techniques, limitations of LLMs, and methods to improve output qualityFamiliarity with REST APIs and integrating external servicesWorking knowledge of data structures, basic algorithms, and software engineering best practicesExperience using version control systems such as GitAbility to work in a fast-paced environment with evolving requirementsStrong problem-solving and analytical thinking skillsExcellent English communication skills with the ability to explain technical ideas clearlyGood-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 NLPFamiliarity with modern front-end technologies such as Angular, React and HTMXFamiliarity with cloud platforms (AWS, Azure, or GCP)Experience building internal tools, prototypes, or dashboardsAbility to write clear technical documentation and usage guidesEducational qualification & Professional experience Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related fieldStrong academic credentials, analytical ability, and problem-solving skillsWork experience range: Undergraduate degree: 2 - 4 years of experience in software development, AI engineering, or related rolesPostgraduate degree: 0 - 2 years of relevant experiencePrior exposure to consulting, analytics, or business problem-solving environments is preferred but not mandatoryWhat makes us a great place to workWe 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. Go backGeneral Information Job Title Associate- PEG (AI Solutions Engineer) Job ID 107185 Work Areas Analytics, Data & Research Employment Type Permanent Full-Time Location(s) New Delhi Description & Requirements About usBain & 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 withBCN 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 technologiesImplement python-based API integrations with LLM platforms to enable use cases such as summarization, classification, extraction, reasoning, and workflow automationDevelop prompt engineering strategies and reusable prompt frameworks to ensure reliability, accuracy, and scalability of AI outputsBuild AI agents and tools that orchestrate multi-step workflows, tool calling, and interaction with structured and unstructured data sourcesCollaborate with consultants and case teams to translate business problems into practical AI solutionsEvaluate and experiment with emerging AI frameworks, libraries, and tools for potential adoptionSupport supervisors in work planning, solution design, and brainstorming for AI initiativesEnsure solutions are robust, secure, well-documented, and aligned with Bain’s engineering and governance standardsCommunicate technical concepts and insights clearly to non-technical stakeholdersProactively drive self-learning in AI, LLMs, and applied machine learningContribute to knowledge sharing, documentation, and internal training within the PEG and broader BCN community About youMust-have skills:Strong programming skills in Python and/or JavaScript/TypeScriptHands-on experience working with LLM APIs such as OpenAI and Anthropic, including prompt design and response handlingExperience building AI agents, workflows, or automation tools using LLMsAbility to build evaluation sets, guardrails, and regression checks to measure, monitor, and safeguard the quality and reliability of LLM outputsUnderstanding of context engineering techniques, limitations of LLMs, and methods to improve output qualityFamiliarity with REST APIs and integrating external servicesWorking knowledge of data structures, basic algorithms, and software engineering best practicesExperience using version control systems such as GitAbility to work in a fast-paced environment with evolving requirementsStrong problem-solving and analytical thinking skillsExcellent English communication skills with the ability to explain technical ideas clearlyGood-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 NLPFamiliarity with modern front-end technologies such as Angular, React and HTMXFamiliarity with cloud platforms (AWS, Azure, or GCP)Experience building internal tools, prototypes, or dashboardsAbility to write clear technical documentation and usage guidesEducational qualification & Professional experience Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related fieldStrong academic credentials, analytical ability, and problem-solving skillsWork experience range: Undergraduate degree: 2 - 4 years of experience in software development, AI engineering, or related rolesPostgraduate degree: 0 - 2 years of relevant experiencePrior exposure to consulting, analytics, or business problem-solving environments is preferred but not mandatoryWhat makes us a great place to workWe 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.General InformationGeneral Information

General Information

Job Title Associate- PEG (AI Solutions Engineer) Job ID 107185 Work Areas Analytics, Data & Research Employment Type Permanent Full-Time Location(s) New DelhiJob Title Associate- PEG (AI Solutions Engineer) Job ID 107185 Work Areas Analytics, Data & Research Employment Type Permanent Full-Time Location(s) New DelhiJob Title Associate- PEG (AI Solutions Engineer)Job TitleAssociate- PEG (AI Solutions Engineer)Job ID 107185Job ID107185Work Areas Analytics, Data & ResearchWork AreasAnalytics, Data & ResearchEmployment Type Permanent Full-TimeEmployment TypePermanent Full-TimeLocation(s) New DelhiLocation(s)New DelhiDescription & RequirementsDescription & Requirements

Description & Requirements

About usBain & 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 withBCN 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 technologiesImplement python-based API integrations with LLM platforms to enable use cases such as summarization, classification, extraction, reasoning, and workflow automationDevelop prompt engineering strategies and reusable prompt frameworks to ensure reliability, accuracy, and scalability of AI outputsBuild AI agents and tools that orchestrate multi-step workflows, tool calling, and interaction with structured and unstructured data sourcesCollaborate with consultants and case teams to translate business problems into practical AI solutionsEvaluate and experiment with emerging AI frameworks, libraries, and tools for potential adoptionSupport supervisors in work planning, solution design, and brainstorming for AI initiativesEnsure solutions are robust, secure, well-documented, and aligned with Bain’s engineering and governance standardsCommunicate technical concepts and insights clearly to non-technical stakeholdersProactively drive self-learning in AI, LLMs, and applied machine learningContribute to knowledge sharing, documentation, and internal training within the PEG and broader BCN community About youMust-have skills:Strong programming skills in Python and/or JavaScript/TypeScriptHands-on experience working with LLM APIs such as OpenAI and Anthropic, including prompt design and response handlingExperience building AI agents, workflows, or automation tools using LLMsAbility to build evaluation sets, guardrails, and regression checks to measure, monitor, and safeguard the quality and reliability of LLM outputsUnderstanding of context engineering techniques, limitations of LLMs, and methods to improve output qualityFamiliarity with REST APIs and integrating external servicesWorking knowledge of data structures, basic algorithms, and software engineering best practicesExperience using version control systems such as GitAbility to work in a fast-paced environment with evolving requirementsStrong problem-solving and analytical thinking skillsExcellent English communication skills with the ability to explain technical ideas clearlyGood-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 NLPFamiliarity with modern front-end technologies such as Angular, React and HTMXFamiliarity with cloud platforms (AWS, Azure, or GCP)Experience building internal tools, prototypes, or dashboardsAbility to write clear technical documentation and usage guidesEducational qualification & Professional experience Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related fieldStrong academic credentials, analytical ability, and problem-solving skillsWork experience range: Undergraduate degree: 2 - 4 years of experience in software development, AI engineering, or related rolesPostgraduate degree: 0 - 2 years of relevant experiencePrior exposure to consulting, analytics, or business problem-solving environments is preferred but not mandatoryWhat makes us a great place to workWe 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.About usBain & 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 withBCN 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 technologiesImplement python-based API integrations with LLM platforms to enable use cases such as summarization, classification, extraction, reasoning, and workflow automationDevelop prompt engineering strategies and reusable prompt frameworks to ensure reliability, accuracy, and scalability of AI outputsBuild AI agents and tools that orchestrate multi-step workflows, tool calling, and interaction with structured and unstructured data sourcesCollaborate with consultants and case teams to translate business problems into practical AI solutionsEvaluate and experiment with emerging AI frameworks, libraries, and tools for potential adoptionSupport supervisors in work planning, solution design, and brainstorming for AI initiativesEnsure solutions are robust, secure, well-documented, and aligned with Bain’s engineering and governance standardsCommunicate technical concepts and insights clearly to non-technical stakeholdersProactively drive self-learning in AI, LLMs, and applied machine learningContribute to knowledge sharing, documentation, and internal training within the PEG and broader BCN community About youMust-have skills:Strong programming skills in Python and/or JavaScript/TypeScriptHands-on experience working with LLM APIs such as OpenAI and Anthropic, including prompt design and response handlingExperience building AI agents, workflows, or automation tools using LLMsAbility to build evaluation sets, guardrails, and regression checks to measure, monitor, and safeguard the quality and reliability of LLM outputsUnderstanding of context engineering techniques, limitations of LLMs, and methods to improve output qualityFamiliarity with REST APIs and integrating external servicesWorking knowledge of data structures, basic algorithms, and software engineering best practicesExperience using version control systems such as GitAbility to work in a fast-paced environment with evolving requirementsStrong problem-solving and analytical thinking skillsExcellent English communication skills with the ability to explain technical ideas clearlyGood-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 NLPFamiliarity with modern front-end technologies such as Angular, React and HTMXFamiliarity with cloud platforms (AWS, Azure, or GCP)Experience building internal tools, prototypes, or dashboardsAbility to write clear technical documentation and usage guidesEducational qualification & Professional experience Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related fieldStrong academic credentials, analytical ability, and problem-solving skillsWork experience range: Undergraduate degree: 2 - 4 years of experience in software development, AI engineering, or related rolesPostgraduate degree: 0 - 2 years of relevant experiencePrior exposure to consulting, analytics, or business problem-solving environments is preferred but not mandatoryWhat makes us a great place to workWe 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.About usBain & 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 withBCN 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 technologiesImplement python-based API integrations with LLM platforms to enable use cases such as summarization, classification, extraction, reasoning, and workflow automationDevelop prompt engineering strategies and reusable prompt frameworks to ensure reliability, accuracy, and scalability of AI outputsBuild AI agents and tools that orchestrate multi-step workflows, tool calling, and interaction with structured and unstructured data sourcesCollaborate with consultants and case teams to translate business problems into practical AI solutionsEvaluate and experiment with emerging AI frameworks, libraries, and tools for potential adoptionSupport supervisors in work planning, solution design, and brainstorming for AI initiativesEnsure solutions are robust, secure, well-documented, and aligned with Bain’s engineering and governance standardsCommunicate technical concepts and insights clearly to non-technical stakeholdersProactively drive self-learning in AI, LLMs, and applied machine learningContribute to knowledge sharing, documentation, and internal training within the PEG and broader BCN community About youMust-have skills:Strong programming skills in Python and/or JavaScript/TypeScriptHands-on experience working with LLM APIs such as OpenAI and Anthropic, including prompt design and response handlingExperience building AI agents, workflows, or automation tools using LLMsAbility to build evaluation sets, guardrails, and regression checks to measure, monitor, and safeguard the quality and reliability of LLM outputsUnderstanding of context engineering techniques, limitations of LLMs, and methods to improve output qualityFamiliarity with REST APIs and integrating external servicesWorking knowledge of data structures, basic algorithms, and software engineering best practicesExperience using version control systems such as GitAbility to work in a fast-paced environment with evolving requirementsStrong problem-solving and analytical thinking skillsExcellent English communication skills with the ability to explain technical ideas clearlyGood-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 NLPFamiliarity with modern front-end technologies such as Angular, React and HTMXFamiliarity with cloud platforms (AWS, Azure, or GCP)Experience building internal tools, prototypes, or dashboardsAbility to write clear technical documentation and usage guidesEducational qualification & Professional experience Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related fieldStrong academic credentials, analytical ability, and problem-solving skillsWork experience range: Undergraduate degree: 2 - 4 years of experience in software development, AI engineering, or related rolesPostgraduate degree: 0 - 2 years of relevant experiencePrior exposure to consulting, analytics, or business problem-solving environments is preferred but not mandatoryWhat makes us a great place to workWe 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.About usBain & 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 withBCN 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 technologiesImplement python-based API integrations with LLM platforms to enable use cases such as summarization, classification, extraction, reasoning, and workflow automationDevelop prompt engineering strategies and reusable prompt frameworks to ensure reliability, accuracy, and scalability of AI outputsBuild AI agents and tools that orchestrate multi-step workflows, tool calling, and interaction with structured and unstructured data sourcesCollaborate with consultants and case teams to translate business problems into practical AI solutionsEvaluate and experiment with emerging AI frameworks, libraries, and tools for potential adoptionSupport supervisors in work planning, solution design, and brainstorming for AI initiativesEnsure solutions are robust, secure, well-documented, and aligned with Bain’s engineering and governance standardsCommunicate technical concepts and insights clearly to non-technical stakeholdersProactively drive self-learning in AI, LLMs, and applied machine learningContribute to knowledge sharing, documentation, and internal training within the PEG and broader BCN community About youMust-have skills:Strong programming skills in Python and/or JavaScript/TypeScriptHands-on experience working with LLM APIs such as OpenAI and Anthropic, including prompt design and response handlingExperience building AI agents, workflows, or automation tools using LLMsAbility to build evaluation sets, guardrails, and regression checks to measure, monitor, and safeguard the quality and reliability of LLM outputsUnderstanding of context engineering techniques, limitations of LLMs, and methods to improve output qualityFamiliarity with REST APIs and integrating external servicesWorking knowledge of data structures, basic algorithms, and software engineering best practicesExperience using version control systems such as GitAbility to work in a fast-paced environment with evolving requirementsStrong problem-solving and analytical thinking skillsExcellent English communication skills with the ability to explain technical ideas clearlyGood-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 NLPFamiliarity with modern front-end technologies such as Angular, React and HTMXFamiliarity with cloud platforms (AWS, Azure, or GCP)Experience building internal tools, prototypes, or dashboardsAbility to write clear technical documentation and usage guidesEducational qualification & Professional experience Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related fieldStrong academic credentials, analytical ability, and problem-solving skillsWork experience range: Undergraduate degree: 2 - 4 years of experience in software development, AI engineering, or related rolesPostgraduate degree: 0 - 2 years of relevant experiencePrior exposure to consulting, analytics, or business problem-solving environments is preferred but not mandatoryWhat makes us a great place to workWe 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.

About us

About usAbout 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

Who you will work withWho 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

What you’ll doWhat 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:

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 technologiesImplement python-based API integrations with LLM platforms to enable use cases such as summarization, classification, extraction, reasoning, and workflow automationDevelop prompt engineering strategies and reusable prompt frameworks to ensure reliability, accuracy, and scalability of AI outputsBuild AI agents and tools that orchestrate multi-step workflows, tool calling, and interaction with structured and unstructured data sourcesCollaborate with consultants and case teams to translate business problems into practical AI solutionsEvaluate and experiment with emerging AI frameworks, libraries, and tools for potential adoptionSupport supervisors in work planning, solution design, and brainstorming for AI initiativesEnsure solutions are robust, secure, well-documented, and aligned with Bain’s engineering and governance standardsCommunicate technical concepts and insights clearly to non-technical stakeholdersProactively drive self-learning in AI, LLMs, and applied machine learningContribute to knowledge sharing, documentation, and internal training within the PEG and broader BCN community

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

About youAbout you

Must-have skills:

Must-have skills:Must-have skills:Strong programming skills in Python and/or JavaScript/TypeScriptHands-on experience working with LLM APIs such as OpenAI and Anthropic, including prompt design and response handlingExperience building AI agents, workflows, or automation tools using LLMsAbility to build evaluation sets, guardrails, and regression checks to measure, monitor, and safeguard the quality and reliability of LLM outputsUnderstanding of context engineering techniques, limitations of LLMs, and methods to improve output qualityFamiliarity with REST APIs and integrating external servicesWorking knowledge of data structures, basic algorithms, and software engineering best practicesExperience using version control systems such as GitAbility to work in a fast-paced environment with evolving requirementsStrong problem-solving and analytical thinking skillsExcellent English communication skills with the ability to explain technical ideas clearlyStrong programming skills in Python and/or JavaScript/TypeScriptHands-on experience working with LLM APIs such as OpenAI and Anthropic, including prompt design and response handlingExperience building AI agents, workflows, or automation tools using LLMsAbility to build evaluation sets, guardrails, and regression checks to measure, monitor, and safeguard the quality and reliability of LLM outputsUnderstanding of context engineering techniques, limitations of LLMs, and methods to improve output qualityFamiliarity with REST APIs and integrating external servicesWorking knowledge of data structures, basic algorithms, and software engineering best practicesExperience using version control systems such as GitAbility to work in a fast-paced environment with evolving requirementsStrong problem-solving and analytical thinking skillsExcellent English communication skills with the ability to explain technical ideas clearly

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:

Good-to-have skills: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 NLPFamiliarity with modern front-end technologies such as Angular, React and HTMXFamiliarity with cloud platforms (AWS, Azure, or GCP)Experience building internal tools, prototypes, or dashboardsAbility to write clear technical documentation and usage guidesExperience 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 NLPFamiliarity with modern front-end technologies such as Angular, React and HTMXFamiliarity with cloud platforms (AWS, Azure, or GCP)Experience building internal tools, prototypes, or dashboardsAbility to write clear technical documentation and usage guides

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

Educational qualification & Professional experienceEducational qualification & Professional experienceBachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related fieldStrong academic credentials, analytical ability, and problem-solving skillsWork experience range: Undergraduate degree: 2 - 4 years of experience in software development, AI engineering, or related rolesPostgraduate degree: 0 - 2 years of relevant experiencePrior exposure to consulting, analytics, or business problem-solving environments is preferred but not mandatory

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

What makes us a great place to workWhat 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.