Senior Software Engineer II - Data Engineering (AI)

TL;DR

Senior Software Engineer II - Data Engineering (AI): Designing scalable generative AI services and reusable components for a data platform with an accent on platform architecture, distributed systems, and production-ready AI integration. Focus on leading technical architecture decisions, building backend APIs in Python, and deploying containerized workloads in Kubernetes (EKS) while ensuring scalability, observability, and testing.

Location: London

Company

hirify.global builds information and analytics solutions that help researchers and healthcare professionals advance science and improve health outcomes.

What you will do

• Lead architectural design and set engineering standards for technical consistency across services and modules.
• Design, develop, and maintain generative AI services and reusable components using Python.
• Define best practices for scalability, observability, testing, and CI/CD; contribute to system designs across multiple services.
• Collaborate with product, platform, and research teams to turn AI prototypes into production-ready capabilities.
• Deploy and operate scalable containerized applications in a Kubernetes (EKS) environment.
• Resolve complex technical challenges in distributed systems and mentor less-senior engineers.

Requirements

• 5+ years of software engineering experience.
• Proven experience leading technical architecture for large-scale platforms or services.
• Deep expertise in Python (or, if needed, Java) and strong backend development skills.
• Strong experience with Kubernetes (EKS) and cloud-native architectures.
• Proven record building scalable backend systems and APIs.
• Ability to work collaboratively in an Agile or Kanban environment.

Nice to have

• Experience operationalizing LLMs or building an internal AI platform.
• Familiarity with observability practices (metrics, logging, alerts).
• Exposure to knowledge graphs or semantic search systems.

Culture & Benefits

• Flexible working hours and support for work-life balance.
• Comprehensive pension plan and generous vacation entitlement, with option for sabbatical leave.
• Family leave options including maternity, paternity, adoption, and family care leave.
• Personal Choice budget and internal communities and networks.
• Employee Assistance Program (global) and various employee discounts.

Hiring process

• Interviews and technical evaluation focused on architecture, backend engineering, and generative AI integration.
• Code review and architecture discussions to assess quality and maintainability.