Lead GenAI & LLM Platform Engineer

Aumni; Greater London; Vor Ort; GBP 90.000 - 150.000; Vollzeit

Zusammenfassung

JPMorganChase is seeking a Lead Software Engineer for the LLM Suite Engineering team in London. You will own technical direction across architecture, implementation, and operational stability, delivering secure, production-grade AI/ML and agentic solutions that integrate with existing systems.

You will collaborate with peers to improve standards, reliability, and scalability, and help evolve the platform using Azure and AWS.

Qualifikationen

• CS degree or equivalent practical experience.
• Hands-on experience with system design, application development, testing, and operational stability.
• Proficiency in Python (FastAPI).
• Experience building microservices and APIs.
• Experience with elastic compute, NoSQL databases, and messaging queues.
• Strong understanding of the Software Development Life Cycle.
• Solid grasp of CI/CD, application resiliency, and security.

Aufgaben

• Design, develop, and troubleshoot software solutions using creative approaches to solve complex technical challenges.
• Write secure, high-quality production code and maintain algorithms that integrate with existing systems.
• Create architecture and design artifacts for complex applications, ensuring design constraints are met through delivery.
• Build AI/ML solutions and agentic systems for the LLM Suite platform using public cloud architecture (Azure, AWS) and modern agentic frameworks.
• Implement GenAI services leveraging Azure OpenAI models and AWS Bedrock.
• Identify hidden problems and patterns in data proactively to improve coding standards and system architecture.
• Participate in software engineering communities of practice and events focused on emerging technologies.

Kenntnisse

Python

System design

Microservices

CI/CD

Security

Ausbildung

Computer science degree

Tools

Azure

AWS

LangGraph

OpenAI

Jobbeschreibung

JPMorganChase is seeking a Lead Software Engineer for the LLM Suite Engineering team in London. You will own technical direction across architecture, implementation, and operational stability, delivering secure, production-grade AI/ML and agentic solutions that integrate with existing systems.

You will collaborate with peers to improve standards, reliability, and scalability, and help evolve the platform using Azure and AWS.