Senior Python Backend Engineer — AI Production Systems

JPMorganChase; Glasgow; On-site; GBP 75,000 - 120,000; Full time

Job summary

JPMorganChase in the United Kingdom is seeking a Software Engineer III to build production software with AI-enabled capabilities. You will develop backend services in Python, APIs, and microservices, and work across the full SDLC in a multi-cloud environment using Terraform, Kubernetes, and CI/CD.

You will implement LLM-driven workflows, retrieval augmented generation, and ensure secure data handling, observability, and scalable systems.

Qualifications

• Formal training or certification on software engineering concepts and proficient applied experience.
• Strong hands-on Python development experience building backend services, including testing, packaging, dependency management, and maintainability.
• Strong database and SQL proficiency, with experience implementing application logic and APIs on top of relational data.
• Experience building APIs and microservices using REST or gRPC, including contracts, security basics, and observability.
• Practical experience delivering LLM-based features as part of software systems, with familiarity with agentic patterns.
• Working knowledge of delivery and operations including CI/CD, Git, containers, and Kubernetes.
• Familiarity with Terraform and cloud infrastructure concepts in a multi-cloud environment.
• Solid understanding of software engineering fundamentals and software development lifecycle practices including design, reviews, testing, release, and production support.
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.

Responsibilities

• Deliver software through a disciplined software development lifecycle, working from well-defined requirements through design, implementation, testing, release, and production support
• Write maintainable Python code with unit and integration tests, debugging issues across application, API, data-access, and runtime layers
• Implement LLM-driven workflows including prompting, tool and function calling, routing, orchestration, and state handling to support multi-step agentic task execution
• Build and maintain inference-time integrations such as model gateways, APIs, caching, fallbacks, timeouts, and concurrency controls for production AI systems
• Implement retrieval-augmented generation components where applicable, including chunking, embeddings, retrieval, and grounding strategies
• Build REST and gRPC endpoints following agreed contracts, implementing authentication and authorization integration, input validation, error handling, and secure data handling practices
• Implement SQL-backed business logic powering APIs and microservices, including joins, aggregations, filtering, pagination, and transactional workflows
• Contribute to CI/CD pipelines and Git workflows, packaging and deploying services using containers and Kubernetes with support for safe rollouts and rollbacks
• Contribute to infrastructure-as-code using Terraform within established team patterns across modules, environments, and state management Improve operability of services by adding and using observability tooling including logs, metrics, traces, dashboards, and alerts, and participate in incident response and root-cause analysis
• Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards
• Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation

Skills

Python

APIs (REST/GRPC)

SQL

Kubernetes

Terraform

CI/CD

LLM/AI

Distributed systems

Testing

Security & auth

Tools

Git

Docker

Terraform

Kubernetes

Job description

JPMorganChase in the United Kingdom is seeking a Software Engineer III to build production software with AI-enabled capabilities. You will develop backend services in Python, APIs, and microservices, and work across the full SDLC in a multi-cloud environment using Terraform, Kubernetes, and CI/CD.

You will implement LLM-driven workflows, retrieval augmented generation, and ensure secure data handling, observability, and scalable systems.