Skip to content
โ† All opportunities

AI Solutions Engineer

JobNew Delhi
Apply on Bain & Company โ†’

Opens the company's own listing โ€” Aspirova never mirrors applications.

Sign in to saveWhatsApp
Deadline: 11/11/2026
Add to calendar:Google Calendar

Skills for this role

Skills we detected for this role.

  • Python
  • JavaScript
  • TypeScript
  • REST APIs
  • Git
  • Machine Learning
  • Generative AI
  • Prompt Engineering

Opportunity brief

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

More like this

Related opportunities