Senior Software Engineer II - Data Engineering (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Software Engineer II - Data Engineering (AI): Building and optimizing reusable generative AI capabilities and scalable data solutions for a rich data platform with an accent on platform architecture and production-ready AI services. Focus on designing distributed systems, operationalizing LLMs using frameworks like LangChain and LangGraph, and ensuring high scalability within Kubernetes environments.
Location: London Wall, UK
Company
A global leader in information and analytics that helps researchers and healthcare professionals advance science and improve health outcomes.
What you will do
- Lead architectural design and ensure technical consistency across distributed systems.
- Design, develop, and maintain generative AI services and reusable components using Python.
- Translate AI prototypes into production-ready capabilities in collaboration with product and research teams.
- Deploy and manage scalable, containerized applications within a Kubernetes (EKS) environment.
- Define and promote engineering best practices for scalability, observability, testing, and CI/CD.
- Mentor junior developers on GenAI patterns and platform development principles.
Requirements
- 5+ years of professional software engineering experience.
- Deep expertise in Python (or Java) and strong proficiency in backend development.
- Proven experience leading technical architecture for large-scale platforms or services.
- Strong experience with Kubernetes (EKS) and cloud-native architectures.
- Familiarity with modern AI/LLM tools and frameworks such as LangChain and LangGraph.
- Ability to work in an Agile or Kanban environment.
Nice to have
- Experience operationalizing LLMs or building internal AI platforms.
- Familiarity with observability practices, including metrics, logging, and alerts.
- Exposure to semantic search systems or knowledge graphs.
Culture & Benefits
- Flexible working hours to support productivity and work-life balance.
- Comprehensive Pension Plan and personal choice budget.
- Generous vacation entitlement and options for sabbatical leave.
- Comprehensive family care leave, including maternity, paternity, and adoption leave.
- Access to global Employee Assistance Programs and internal professional networks.
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