Backend Engineer
eTeam Workforce Limited · Sheffield, England ·
We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you. Role Title: Backend Engineer Location: Sheffield Work Mode: Hybrid 60% office 40% home Duration: 07/05/2027 Pay Rate: £384 per day all inc. (PAYE through Umbrella) Description: Role Overview: We are seeking a highly skilled and motivated Backend Engineer to join our growing technology team.
This role will focus on designing, building, and maintaining secure, scalable, and high-performing Back End services that support critical business applications and AI-enabled solutions. The successful candidate will play a key role in developing robust APIs, integrating enterprise systems, and delivering innovative solutions that leverage modern cloud technologies and Generative AI capabilities.
As a Backend Engineer, you will collaborate closely with product managers, designers, data specialists, architects, and fellow engineers to transform business requirements into reliable and maintainable technical solutions.
You will be expected to demonstrate strong engineering fundamentals, uphold software development best practices, and contribute to the continuous improvement of our technology landscape.
Key Responsibilities
Design, develop, test, deploy, and maintain secure, scalable Back End applications, services, and RESTful APIs primarily using Python. Deliver high-quality, production-ready software through modern engineering practices including version control, automated testing, peer code reviews, CI/CD pipelines, and technical documentation.
Integrate Back End services with enterprise platforms, data sources, and third-party APIs, ensuring effective authentication, authorization, resilience, and error handling. Build and support AI-enabled capabilities, including Large Language Model (LLM) integrations, Retrieval-Augmented Generation (RAG), prompt engineering workflows, and agent-based architectures.
Implement AI governance practices including model evaluation, monitoring, guardrails, security controls, and human oversight to ensure responsible and reliable deployment of AI solutions. Investigate and resolve a...