Senior Software Engineer, Life Sciences AI & Agents

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

Benefits offered by this job

Medical/dental/vision insurance

Generous retirement contributions

Parental leave

Job summary

McKinsey & Company, part of the Life Sciences AI team integrated with QuantumBlack, is seeking a senior software engineer to build AI that transforms Pharma and MedTech. You will design and deliver agentic, full-stack applications across commercial workflows, collaborating with distributed teams and C-level executives.

This role offers growth, mentorship, and exposure to cutting-edge challenges, with opportunities to contribute to reusable components, scalable platforms, and industry-shaping

Qualifications

• Degree in computer science, engineering, mathematics, or a related field
• 5+ years of experience developing full-stack applications
• Demonstrated experience building agentic applications and AI agents. This can include designing and orchestrating single- and multi-agent workflows and agentic systems with SDKs from frontier labs or open-source frameworks and include experience with tool/function calling, memory, planning, and human-in-the-loop (HITL) patterns
• Demonstrated knowledge and hands-on experience across the full application stack, i.e., using cloud platforms and containers (e.g. AWS, Azure, Docker) for deploying and managing applications; DevOps (e.g. CircleCI, Git); database (e.g. SQL, PGVector); strong programming skills in Python for agent development; API development; UI framework (React.js, Next.js)
• Experience working with knowledge graphs to structure data and ground GenAI/LLM applications is a plus
• Demonstrated experience working collaboratively with other developers, as well as technical and non-technical people within software teams
• Experience working in Agile teams, including active participation in sprint ceremonies and pair programming with other developers
• Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
• Strong communication skills, both verbal and written, in English, with the ability to adjust your style to suit different perspectives and seniority levels

Responsibilities

• You will design and build differentiated agentic and full-stack applications that address high-value commercial use cases across the Life Sciences sector.
• You will help transform standalone pilots into integrated, production-ready systems that reshape end-to-end commercial workflows and drive meaningful impact for patients.
• You will independently design and deliver small to mid-sized agentic assets that address complex client problems.
• With your expertise in multi-agent orchestration and full-stack application building, you will contribute to industry-shaping tools - from persona-specific assistants to a shared mesh of agents powering our clients' future commercial capabilities.
• You'll explore emerging technologies, collaborate with distributed teams, and contribute to cross-functional problem-solving sessions with clients and stakeholders, from data owners to C-level executives, to deliver impactful analytics solutions.

Skills

Full-stack development

Agentic applications

Python for agent development

Cloud platforms (AWS/Azure)

Docker

React/Next.js

APIs

AI/GenAI knowledge

Agile methodologies

English communication

Education

Bachelor's degree in computer science or related field

Tools

Kubernetes

CircleCI

Git

SQL/PGVector

Job description

McKinsey & Company, part of the Life Sciences AI team integrated with QuantumBlack, is seeking a senior software engineer to build AI that transforms Pharma and MedTech. You will design and deliver agentic, full-stack applications across commercial workflows, collaborating with distributed teams and C-level executives.

This role offers growth, mentorship, and exposure to cutting-edge challenges, with opportunities to contribute to reusable components, scalable platforms, and industry-shaping