AIOps Engineer: Python, Azure GenAI & LLMOps

TESTQ Technologies Limited; Sheffield; On-site; GBP 110,700 - 166,050; Full time

Job summary

TESTQ Technologies Limited is seeking an AIOPS Engineer with Python and Azure expertise to design, develop, and deploy AI-powered applications and services. You will leverage Azure Cognitive Services to build intelligent solutions and apply GenAI and LLMOps practices to manage large language models for enterprise use.

You will work within an AI Engineering cluster to enhance operational efficiency, reliability, and scalability while collaborating with cross-functional teams to deliver AI-driven

Qualifications

• Experience building AI models and services using Python and Azure Cognitive Services.
• Hands-on experience with GenAI workflows, LLMOps, and language model deployment.
• Familiarity with cloud infrastructure and AI model lifecycle management.

Responsibilities

• Develop and maintain AI models using Python and Azure Cognitive Services, focusing on GenAI workflows and LLMOps to optimize deployment and monitoring.
• Collaborate with stakeholders to translate requirements into scalable technical solutions.
• Ensure integration of AI services with enterprise systems and cloud infrastructure; monitor performance and troubleshoot issues.
• Mentor junior team members and contribute to team skill development while adhering to security and compliance standards.
• Support overseas deployment environments and align with governance requirements.

Skills

Azure Cognitive Services

GenAI - LLMOps

Python

Job description

TESTQ Technologies Limited is seeking an AIOPS Engineer with Python and Azure expertise to design, develop, and deploy AI-powered applications and services. You will leverage Azure Cognitive Services to build intelligent solutions and apply GenAI and LLMOps practices to manage large language models for enterprise use.

You will work within an AI Engineering cluster to enhance operational efficiency, reliability, and scalability while collaborating with cross-functional teams to deliver AI-driven