AI Engineer

• Build and ship end-to-end AI applications (backend, data, APIs, UI)
• Turn ambiguous problems into working software quickly
• Use AI-native tools to accelerate delivery
• Apply key AI patterns (RAG, agents, prompt engineering, evaluation)
• Build and scale the AI Platform on Azure (multi-region)
• Own core components: APIM, identity, networking, observability, data
• Establish CI/CD, IaC, testing, and deployment standards
• Integrate with internal and third-party systems (CRM, CX platforms)
• Work with tools like Zendesk, Genesys, Intercom, Microsoft 365
• Build APIs, webhooks, and event-driven systems
• Embed GDPR, ISO 27001, SOC 2 (and others) into the platform
• Partner with Security/GRC on data protection and access control
• Partner with Product on roadmap and build-vs-buy decisions
• Document systems, architecture, and processes
• Monitor production systems and improve performance, cost, and reliability

Full Stack AI Engineer

• Designing and enhancing AI-powered chatbots for customer interactions in billing, sales, and technical support to reduce reliance on human agents.
• Automating business processes to improve operational efficiency using AI technologies.
• Contributing to the development and maintenance of scalable AI infrastructures and integrate new machine learning techniques and large language models (LLMs) where applicable.
• Evaluating and working with various AI models including LLMs, reasoning models, machine learning, and function calling models for different purposes.
• Contributing to the roadmap for integrating speech-to-text functionality and real-time voice APIs, especially for telephony systems.
• Working closely with other team members to evaluate and implement new AI technologies and tools, ensuring robust and reliable AI systems.
• Participating in the testing and quality assurance of AI-driven systems, ensuring accurate and efficient performance.
• Managing and maintaining AI agents across various platforms, ensuring their smooth operation and continuous improvement.

AI Engineering, Voice API

• Be part of our Global Engineering Network!
• Responsible for designing, building, and deploying next-generation AI/ML and Generative AI solutions that drive business transformation at scale.
• Own the end-to-end AI lifecycle: data ingestion, model development, deployment, and monitoring.
• Build and optimise scalable ML pipelines and services.
• Develop AI-driven automation solutions, including intelligent agents.
• Implement MLOps best practices (CI/CD, model versioning, monitoring, retraining).
• Collaborate with cross-functional teams (engineering, product, data) to deliver AI solutions.
• Translate business needs into technical AI use cases and architectures.
• Stay up to date with emerging AI trends and contribute to innovation initiatives.

Senior AI Engineer

• The AI Engineer is the technical builder within the Legal Innovation Team. The work is fundamentally applied natural language processing (NLP): extracting meaning from legal documents, classifying and comparing text, reasoning over complex material, and building systems that analyse language at scale.
• They take the specifications and requirements defined by Innovation Lawyers and turn them into working solutions: document processing pipelines, AI-powered analysis workflows and deployed systems that lawyers and clients use daily.
• This is not a generic software engineering role. The AI Engineer works exclusively on legal technology, embedded in a team that understands the domain deeply. They do not need to be a lawyer (that expertise sits with the Innovation Lawyers they work alongside) but they must build systems that meet the exacting standards legal work demands: accuracy, reliability, auditability, and data security.

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Full Stack AI Engineer

AI Engineering, Voice API

Senior AI Engineer

AI Engineer, Legal Innovation Team