AI-Powered Backend Lead (Python/Java)

JPMorgan Chase & Co.; Auchentibber; On-site; GBP 90,000 - 150,000; Full time

Job summary

JPMorgan Chase & Co. in Scotland seeks a Lead Software Engineer within the AI/ML Technology group. You will be hands-on, building production software with AI-enabled capabilities across the full software lifecycle.

You will develop Python backends, APIs and microservices, implement LLM-driven workflows, and ship solutions into a multi-cloud environment using Terraform, Kubernetes and CI/CD pipelines. This senior role offers growth in applied AI engineering at enterprise scale.

Qualifications

• Formal training or certification on software engineering concepts.
• Strong backend experience with Python/Java/JavaScript.
• Proficient SQL and data modeling skills.
• Experience delivering APIs and micro-services (REST/gRPC).
• Hands-on with LLM-based features and agentic workflows.
• Familiar with CI/CD, Git, and cloud-native tooling.
• Knowledge of Kubernetes and multi-cloud environments.

Responsibilities

• Deliver software across the full lifecycle from requirements to production support.
• Write maintainable Python code with tests and debugging.
• Implement LLM-driven workflows and multi-step agentic task execution.
• Build and maintain production-ready API gateways and microservices.
• Implement SQL-backed business logic powering APIs.
• Contribute to Terraform IaC and container orchestration with Kubernetes.
• Improve operability with observability tooling and incident response.

Skills

Python

JavaScript

Java

SQL

REST/gRPC

Kubernetes

CI/CD

Cloud concepts

Observability

AI tooling

Security basics

Tools

Terraform

Git

CI/CD pipelines

Job description

JPMorgan Chase & Co. in Scotland seeks a Lead Software Engineer within the AI/ML Technology group. You will be hands-on, building production software with AI-enabled capabilities across the full software lifecycle.

You will develop Python backends, APIs and microservices, implement LLM-driven workflows, and ship solutions into a multi-cloud environment using Terraform, Kubernetes and CI/CD pipelines. This senior role offers growth in applied AI engineering at enterprise scale.