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Bain & CompanyVia Unstop

Posted today

AI Solutions Engineer

Pay

Salary (undisclosed)

Location

New Delhi, India

On site

Apply by

12 Nov

8 days left

Skills this role screens for

PythonArtificial intelligence (AI)API development (rest)Workflow automationGit version control

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Responsibilities

What you'll do

  • Design, build, and maintain AI-powered applications using LLMs, especially OpenAI models
  • Implement Python-based API integrations with LLM platforms for summarization, classification, and extraction
  • Develop prompt engineering strategies and reusable prompt frameworks for reliable, scalable AI outputs
  • Build AI agents and tools orchestrating multi-step workflows, tool calling, and structured/unstructured data
  • 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 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

Requirements

What they're looking for

  • Strong programming skills in Python and/or JavaScript/TypeScript
  • Hands-on experience 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 for LLM output quality and reliability
  • Understanding of context engineering techniques, LLM limitations, 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
Full description from the employer

Bain & Company is hiring for the role of AI Solutions Engineer! Responsibilities of the Candidate: • 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 Requirements: • 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

Bain & Company

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