Generative AI Backend Engineer – Python (Hybrid)

GIOS Technology Limited; Sheffield; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

GIOS Technology Limited in Sheffield is recruiting a Backend Engineer focusing on Python and Generative AI. The role is hybrid, with three in-office days weekly, and involves building Python backend apps, RESTful APIs and scalable distributed systems.

You'll work on Generative AI solutions, including LLM integrations, RAG, and prompt engineering, with exposure to embeddings, vector databases and diverse data stores, plus cloud, containers, and CI/CD practices.

Qualifications

• Experience developing Python backend applications and RESTful APIs.
• Hands-on work with Generative AI and LLM integrations.
• Familiarity with embeddings, vector databases, relational and NoSQL databases.
• Experience with cloud platforms, containers, CI/CD, and testing.
• Strong problem-solving and communication skills; production support and AI evaluation.

Responsibilities

• Develop Python backend applications, RESTful APIs and scalable distributed systems.
• Build Generative AI solutions, including LLM integrations, RAG, prompt engineering and AI agent workflows.
• Work with embeddings, vector databases, relational and NoSQL databases, data modelling and API integrations.
• Work with cloud platforms, containerisation, CI/CD pipelines, automated testing and secure software development practices.
• Provide production support, monitoring, debugging and AI evaluation; frontend experience with React and TypeScript is desirable.

Skills

Python backend

RESTful APIs

Distributed systems

Generative AI

LLM integrations

RAG

Prompt engineering

AI agent workflows

Embeddings

Vector databases

Relational databases

NoSQL databases

Cloud platforms

Containerisation

CI/CD

Automated testing

Secure SDLC

React

TypeScript

Tools

FastAPI

Flask

Django

React

TypeScript

Docker

Kubernetes

Job description

GIOS Technology Limited in Sheffield is recruiting a Backend Engineer focusing on Python and Generative AI. The role is hybrid, with three in-office days weekly, and involves building Python backend apps, RESTful APIs and scalable distributed systems.

You'll work on Generative AI solutions, including LLM integrations, RAG, and prompt engineering, with exposure to embeddings, vector databases and diverse data stores, plus cloud, containers, and CI/CD practices.