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# AI Software Engineer

- **Company:** SII Services Limited
- **Location:** UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Automation of Tests, Cloud Engineering, Software Engineering, Web Services, Data Management, Api Design
- **Published:** October 16, 2026
- **Apply:** https://sii-group.com/en-GB/job-application/23179?source=

## About the Role

* Strong Python development skills.

 * Knowledge of Generative AI, Large Language Models (LLMs), and AI automation frameworks.

 * Experience with agentic AI architectures and Model Context Protocol (MCP) concepts.

 * Familiarity with cloud-based AI services and model hosting platforms.

 * Experience designing and consuming RESTful APIs and web services.

 * Understanding of microservices architecture and distributed systems.

 * Knowledge of software design patterns and object-oriented programming principles.

 * Experience with source control systems such as Git.

 * Understanding of automated testing methodologies and software quality practices.

 * Knowledge of data processing, data pipelines, and automation frameworks.

EXPERIENCE REQUIRED

 * Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline, or equivalent industry experience.

 * Commercial experience in software development using Python.

 * Hands-on experience developing production-quality software solutions.

 * Exposure to Generative AI, Machine Learning, LLMs, or AI-powered applications.

 * Experience working with cloud platforms and modern software engineering practices.

 * Experience developing APIs, web services, or microservice-based applications.

 * Familiarity with AI model integration, evaluation, and automation workflows would be highly desirable.

 * Experience working within agile software development environments.

 * Previous involvement in quality engineering, test automation, validation frameworks, or data management solutions would be advantageous.

## Description

* Design, develop, and maintain AI-powered validation and automation frameworks using Python.

 * Build intelligent agents and automation workflows using Model Context Protocol (MCP) and similar agent-based architectures.

 * Integrate foundation models through cloud AI platforms and services.

 * Develop prompt engineering strategies, evaluation frameworks, and AI guardrails to ensure reliable and scalable automation.

 * Create and maintain data management and validation pipelines supporting AI and machine learning systems.

 * Design and implement scalable APIs, web services, microservices, and software development kits (SDKs).

 * Apply software engineering best practices including reusable design patterns, clean coding standards, testing, and code reviews.

 * Collaborate with globally distributed engineering teams throughout the software development lifecycle.

 * Troubleshoot and optimise system performance, reliability, and automation effectiveness.

 * Contribute to technical decision-making, architecture discussions, and continuous improvement initiatives.

 * Support and mentor other team members, promoting knowledge sharing and engineering excellence.

 * Communicate effectively with technical and non-technical stakeholders.