AI-Driven Engineering Transformation Leader

Bain & Company

Atlanta (GA)

Hybride

USD 180 000 - 204 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Full benefits package
Generous PTO
401(k) with company match
Premium medical/dental/vision coverage

Résumé du poste

Bain & Company is seeking a software engineer specializing in AI-driven transformation. You will join a diverse engineering team to solve cutting-edge problems across industries, working on end-to-end AI applications, tooling, and integration for client projects.

The role emphasizes hybrid work with in-office presence required at least 3 days per week, collaboration with global product and engineering teams, and a focus on building scalable, production-grade code and RAG pipelines.

Qualifications

  • Bachelor’s in computer science or a related technical field is required.
  • 2+ years of experience with micro-service API development (RESTful, GraphQL, gRPC).
  • 1+ years of experience with AI tools (Cursor, Claude Code, etc.).
  • Strong knowledge of development best practices (automated testing, CI/CD).
  • Experience with AI/LLM systems and prompt engineering is a plus.

Responsabilités

  • Help clients improve AI-assisted or AI-led maturity across people, process, and technology.
  • Design, develop, and document AI applications aligned to business outcomes.
  • Develop and optimize LLM-powered applications using prompting and model routing.
  • Build scalable AI systems and participate in full SDLC including testing and reviews.
  • Collaborate with product and engineering teams to deploy production-quality code for clients.

Connaissances

Python
AI development
RESTful APIs
GraphQL
CI/CD

Formation

Bachelor’s in computer science
Master’s in computer science (nice to have)

Outils

FastAPI
Swagger/OpenAPI
PostgreSQL

Description du poste

Bain & Company is seeking a software engineer specializing in AI-driven transformation. You will join a diverse engineering team to solve cutting-edge problems across industries, working on end-to-end AI applications, tooling, and integration for client projects.

The role emphasizes hybrid work with in-office presence required at least 3 days per week, collaboration with global product and engineering teams, and a focus on building scalable, production-grade code and RAG pipelines.

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