Backend Engineer, AI-Powered Platform (Hybrid, London)

Harnham; Greater London; Hybrid; GBP 70,000 - 80,000; Full time

Benefits offered by this job

Bonus

Benefits

Hybrid London office

Job summary

Harnham in London is hiring a Backend Engineer to design, build and maintain scalable backend services. You will work with Python, SQL and cloud-native technologies to power AI-driven workflows and data platforms.

The role emphasizes security, observability and enterprise-grade reliability in a fast-growing AI software business. You will collaborate with cross-functional teams, influence architectural decisions and help shape engineering standards.

Qualifications

• Backend applications built with Python and SQL experience.
• Experience with PostgreSQL and API frameworks like FastAPI.
• Background in SaaS/enterprise-scale systems.
• Strong security, testing, observability and engineering practices.
• Experience operating applications in AWS.
• Familiar with CI/CD, Linux and modern engineering workflows.
• Experience with AI-assisted development tools.
• Experience with Java and Spring Boot.
• Knowledge of event-driven architectures and workflow orchestration.
• Experience with LLM integrations or AI-powered products.

Responsibilities

• Design, build and maintain scalable backend services using Python.
• Develop APIs, workflow services and data platforms for AI products.
• Build multi-tenant systems with focus on security and reliability.
• Integrate backend with AI/ML services.
• Improve observability via monitoring, logging and testing.
• Contribute to architecture decisions and engineering best practices.
• Support cloud infrastructure, deployment pipelines and production environments.
• Deliver highly available systems for enterprise customers.

Skills

Python

SQL

APIs

AWS

CI/CD

Linux

FastAPI

Java/Spring Boot

Event-driven

LLM integrations

Tools

PostgreSQL

FastAPI

AWS

Spring Boot

Job description

Harnham in London is hiring a Backend Engineer to design, build and maintain scalable backend services. You will work with Python, SQL and cloud-native technologies to power AI-driven workflows and data platforms.

The role emphasizes security, observability and enterprise-grade reliability in a fast-growing AI software business. You will collaborate with cross-functional teams, influence architectural decisions and help shape engineering standards.