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# Senior Python Engineer with AI [3f19q]

- **Company:** SKM Group
- **Location:** UK (Remote available)
- **Experience:** Expert
- **Salary:** £45,000.0 - £102,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Cloud Computing, Cloud Engineering, Cloud Storage, Monitoring of Systems, Python (Programming Language), Key Management, PostgreSQL, RabbitMQ, Redis, SQL Databases, Systems Integration, Web Services, Alwayson, Azure Service Bus, Datadog, Data Storage Technologies, Large Language Models, Multi-Agent Systems, Backend, Fastapi, Kubernetes, Deployment Automation, Performance Monitor, Celery, Restful APIs, Docker
- **Published:** June 17, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=298dbc7bf648986a

## About the Role

Do you have experience in SQL?, Do you have a Master's degree?, * 5+ years of experience in backend development, with a focus on architecting and scaling systems.

 * Deep expertise in Python, including async/await, type annotations, and Pydantic.
 * Extensive experience with FastAPI for building production REST services.
 * Proven ability to design and operate distributed task queues with Celery, Redis, and RabbitMQ.
 * Strong working knowledge of PostgreSQL and SQL.
 * Familiarity with Azure services, particularly Azure Blob Storage, Azure Service Bus, and Azure Key Vault.
 * Experience with Docker and understanding of cloud-native deployment principles., * Python: 5 years (required)
 * LLM Integration: 3 years (required)

## Description

We're looking for a Senior Python Engineer with AI to join an initiative redefining professional services delivery through agent-enabled and agent-driven models. You'll work on a modern, scalable stack with a strong emphasis on architecture, AI orchestration, and performance.

This project aims to create an "always-on, insight-rich, and value-transparent" ecosystem, leveraging AI-powered automation and knowledge reuse to scale trusted outcomes and protect margins in a rapidly evolving market.

About the Role

You will build a production-grade, AI-native platform, focusing on architecting and orchestrating AI systems, constructing robust agentic pipelines, and integrating Large Language Models (LLMs) with our backend infrastructure.

Tech Stack

 * Core: Python, FastAPI, Celery, PostgreSQL, Redis
 * Backend & AI: RabbitMQ, Messaging, Cache, Distributed Task Queues, AI Tooling Integration
 * Cloud & Tools: Azure, Azure Blob Storage, Azure Service Bus, Azure Key Vault, Kubernetes, Docker, Datadog

What You'll Do

 * Lead the design and implementation of scalable, highly concurrent backend systems for an AI-native platform.
 * Architect and optimize distributed task queues and resilient API services using Celery and FastAPI.
 * Implement seamless integration of AI models and AI Tooling Integration into core platform functionalities.
 * Take ownership of data storage solutions, leveraging PostgreSQL and Redis for optimal performance.
 * Design and implement robust deployment strategies on Azure using Docker and Kubernetes for container orchestration.
 * Ensure system observability and performance monitoring with tools like Datadog.


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