Senior Life Sciences AI Software Engineer

McKinsey & Company; Atlanta (GA); On-site; USD 176,000 - 180,000; Full time

Job summary

McKinsey & Company seeks a Senior Software Engineer to join the Life Sciences AI team, integrated with QuantumBlack. You will design and build agentic and full-stack applications addressing high-value Pharma and MedTech use cases, and push pilots toward production-ready deployments across global teams.

You will independently craft small to mid-sized products, collaborate with data owners and executives, and contribute to reusable components that accelerate product development across infra,

Qualifications

• 5+ years of experience building full-stack applications.
• Experience designing and orchestrating single- and multi-agent workflows.
• Knowledge of cloud platforms and containers for deployment.
• Strong Python programming for agent development and API work.

Responsibilities

• Design and build differentiated agentic and full-stack applications for Life Sciences use cases.
• Transform pilots into production-ready systems affecting end-to-end workflows.
• Architect and deliver small to mid-sized products and reusable components.
• Collaborate with distributed teams and clients to solve complex problems.

Skills

Full-stack development

Agentic AI & multi-agent workflows

Python for AI/agent development

Cloud platforms (AWS, Azure)

React.js/Next.js

Education

Bachelor's degree in CS/Engineering

Tools

AWS

Azure

Docker

CircleCI

Git

SQL/PGVector

Job description

McKinsey & Company seeks a Senior Software Engineer to join the Life Sciences AI team, integrated with QuantumBlack. You will design and build agentic and full-stack applications addressing high-value Pharma and MedTech use cases, and push pilots toward production-ready deployments across global teams.

You will independently craft small to mid-sized products, collaborate with data owners and executives, and contribute to reusable components that accelerate product development across infra,