Senior Python Developer (AI)

TL;DR

Senior Python Developer (AI): Designing and optimizing robust backend systems for a leading organisation in the healthcare and life sciences sector with an accent on scalable backend services and AI-enabled features. Focus on building cloud-native architectures, managing production aspects, and ensuring system performance under data-intensive conditions.

Location: United Kingdom

Company

Our client, a leading organisation in the healthcare and life sciences sector, focuses on advanced data-driven and AI-enhanced applications.

What you will do

• Design and develop scalable backend services and APIs using modern Python frameworks and cloud-native architecture.
• Write clean, efficient, and well-structured Python code tailored for high-performance and data-intensive applications.
• Build and integrate components that power AI-enabled features, such as inference layers and orchestration systems.
• Connect with third-party APIs and external services, focusing on performance and reliability.
• Manage production aspects, including monitoring, logging, and troubleshooting for optimal system performance.
• Contribute to infrastructure automation using CI/CD pipelines and container-based deployments.

Requirements

• Minimum 5 years’ experience working as a Python developer in production environments.
• Expertise in Python and backend development frameworks such as FastAPI, Flask, or Django.
• Proven experience with cloud technologies (AWS and/or Azure) and containerised applications.
• Strong understanding of CI/CD workflows, version control systems, and Agile methodologies.
• Demonstrated capability in debugging and enhancing distributed or data-centric systems.
• Strong communication and collaboration skills in cross-functional teams.

Nice to have

• Exposure to tools supporting data workflows (e.g., Databricks, Airflow).
• Awareness of LLMs or generative AI integration in backend systems.
• Familiarity with observability tools like Prometheus, Grafana, or Sentry.
• Contributions to open-source projects or internal tooling libraries.
• Previous work in regulated industries such as healthcare, finance, or life sciences.

Culture & Benefits

• Work in a dynamic team on advanced data-driven and AI-enhanced applications.
• A permanent role offering a competitive salary.