Python Developer – Generative AI & Backend Engineering

Thrive IT Systems; Sheffield; Presencial; GBP 50 000 - 80 000; Tempo integral

Resumo da oferta

Thrive IT Systems in the United Kingdom is seeking an experienced Python Developer to build scalable backend services, REST APIs, and Generative AI-powered applications.

You will work with Python frameworks, integrate LLMs, and implement secure cloud-native solutions with CI/CD, data modeling, and robust security practices. Collaboration with cross-functional teams is required.

Qualificações

• Strong Python backend experience with modern frameworks.
• Experience integrating AI/LLMs and building secure applications.
• Solid cloud, containerization, and CI/CD proficiency.
• Good knowledge of databases and data modeling.

Responsabilidades

• Build scalable backend services and REST APIs.
• Develop Generative AI-powered applications and LLM integrations.
• Ensure authentication, authorization and secrets management.
• Collaborate across design, testing, and deployment in CI/CD workflows.

Conhecimentos

Python frameworks (Django/Flask/FastAI

Backend development

REST APIs

OOP principles

PyTest

Git

Generative AI

LLM APIs

RAG

Embeddings

Vector databases

Prompt engineering

AI guardrails

SQL/NoSQL databases

Data modeling

Query optimization

AWS/Azure/GCP

Docker

CI/CD pipelines

Authentication

Authorization

Secrets management

Secure coding practices

Kubernetes

Monitoring

Observability

Regulated industries experience

Ferramentas

CI/CD pipelines

Descrição da oferta de emprego

We are looking for an experienced Python Developer to build scalable backend services, REST APIs, and Generative AI-powered applications. The ideal candidate should have expertise in Python frameworks, LLM integration, cloud-native development, database management, CI/CD, and application security.

Required Skills

• Strong Python development experience with Django, Flask, or FastAPI.
• Backend development, REST APIs, OOP, software design principles, PyTest, and Git.
• Generative AI, LLM APIs, RAG, embeddings, vector databases, prompt engineering, and AI guardrails.
• SQL/NoSQL databases, data modeling, and query optimization.
• AWS/Azure/GCP, Docker, and CI/CD pipeline architecture.
• Authentication, authorization, secrets management, and secure coding practices.

Good-to-Have Skills

• Kubernetes, monitoring, and observability tools.
• Experience in banking, financial services, or other regulated industries.