Senior AI/ML Engineer — GenAI, AWS & Backend APIs

Boston Consulting Group (BCG); Greater London; On-site; GBP 80,000 - 110,000; Full time

Job summary

Boston Consulting Group is seeking a hands-on software engineer to build AI-driven solutions that enhance BCG’s products, processes, and technology. Working in an Agile, product-oriented environment, you will develop reliable and scalable applications using generative AI and modern cloud technologies to solve meaningful business problems.

You will contribute across the development lifecycle—from design to deployment—employing strong engineering practices, exploring LLMs, agentic technologies,

Qualifications

• 4+ years of hands-on software engineering experience with Python backend/API development.
• Experience with LLMs and GenAI such as RAG or agentic workflows.
• Cloud-native solutions using AWS, CI/CD, and modern DevOps practices.
• Strong software design for reliable, scalable systems.
• Experience in Agile, product-focused environments.
• Curiosity about AI technologies and practical applications.

Responsibilities

• Design, build, test, and maintain backend applications and APIs using Python and FastAPI.
• Develop secure, scalable services integrating LLMs with AWS.
• Build GenAI solutions, including RAG apps and agentic workflows.
• Evaluate trade-offs across performance, security, and maintainability.
• Apply clean architecture, automated testing, CI/CD, and DevOps practices.
• Collaborate with product and engineering to translate requirements into solutions.
• Stay current with AI and software developments to improve products.

Skills

Python

Backend/API development

LLMs / GenAI

AWS

CI/CD

DevOps

Agile

System design

Tools

FastAPI

AWS

Job description

Boston Consulting Group is seeking a hands-on software engineer to build AI-driven solutions that enhance BCG’s products, processes, and technology. Working in an Agile, product-oriented environment, you will develop reliable and scalable applications using generative AI and modern cloud technologies to solve meaningful business problems.

You will contribute across the development lifecycle—from design to deployment—employing strong engineering practices, exploring LLMs, agentic technologies,