AI Platform Engineer

Salary: £40,000 - 70,000 per year

Requirements:

• Strong software engineering fundamentals.
• Experience designing modular, maintainable systems.
• Experience building REST APIs and backend services.
• Experience developing reusable libraries or frameworks.
• Experience working with asynchronous and event-driven systems.
• Strong debugging and problem-solving skills.
• Experience in one or more modern software development technologies, such as Python, TypeScript, or Go.
• Experience learning new languages, frameworks, and technologies quickly.
• Experience working with modern AI technologies, including Large Language Models (LLMs), AI agents, Retrieval Augmented Generation (RAG), prompt engineering, structured outputs, AI workflow orchestration, model evaluation, and AI governance and safety.
• Experience with multiple AI providers is desirable.
• Experience with cloud-native development, such as Azure or AWS, including storage services, authentication and identity, queues or messaging, serverless or container-based workloads, monitoring and observability, and secure application development.
• Experience integrating with third-party platforms using REST APIs, SDKs, or webhooks.
• Experience building integrations with enterprise systems is highly desirable.
• Good understanding of cybersecurity concepts, such as SIEM, SOAR, identity and access management, threat detection, incident response, authentication, and authorization.
• Experience with offensive security techniques, adversary emulation, or penetration testing is beneficial but not required.
• Experience with one or more of the following is beneficial: Splunk, Microsoft Sentinel, CrowdStrike, Microsoft Defender, ServiceNow, SOAR platforms, MITRE ATT&CK, Detection Engineering, Security Operations (SOC).
• Experience building AI platforms rather than standalone AI applications.
• Experience designing workflow engines or orchestration systems.
• Experience developing SDKs or internal developer platforms.
• Experience with vector search or semantic search.
• Experience working with structured data pipelines.
• Experience designing scalable cloud architectures.
• Experience contributing to technical strategy and architecture.
• Naturally curious and enjoys learning new technologies.
• Able to work independently while collaborating effectively with others.
• Takes ownership of technical problems from concept through implementation.
• Thinks beyond individual features and considers long-term platform design.
• Pragmatic and balances innovation with maintainability.
• Communicates technical concepts clearly to both technical and non-technical stakeholders.

Responsibilities:

• Design, develop, and maintain AI-driven platform capabilities.
• Build scalable backend services and APIs.
• Develop workflow orchestration and automation capabilities.
• Design integrations with enterprise security and operational platforms.
• Build connectors to third-party products and cloud services.
• Develop reusable components and SDKs that can be shared across multiple applications.
• Contribute to platform architecture, design discussions, and technical direction.
• Evaluate emerging AI technologies and determine how they can be incorporated into the platform.
• Work closely with security analysts to understand operational challenges and translate them into technical solutions.
• Produce maintainable, well-tested, and well-documented code.
• Participate in technical reviews and architectural discussions.
• Help evolve the platform by designing robust, reusable platform capabilities.
• Build high-quality integrations with enterprise technologies.
• Deliver AI-enabled workflows that solve real operational problems.
• Contribute to the long-term architecture and technical direction of the platform.
• Help establish engineering standards and best practices as the platform grows.

Technologies:

• AI
• AI Agents
• AWS
• Azure
• Backend
• Cloud
• Network
• Python
• RAG
• REST
• Security
• Serverless
• ServiceNow
• Splunk
• TypeScript
• API

More:

We are seeking a Senior AI Platform Engineer to help design, develop, and expand our internal AI platform, supporting cybersecurity analysts through intelligent workflows, automation, integrations, and AI-assisted capabilities. This is a contract role based in Sheffield, UK, with a hybrid working pattern of 3 days onsite and 2 days from home. The rate is £600 to £650 per day via umbrella. We are part of TEKsystems within the Allegis Group network of brands and operate as an Employment Business and Employment Agency.

last updated 34 week of 2026