Overview A global enterprise organisation is looking to hire a Full Stack Engineer / Technical Lead to drive the design and delivery of an internal AI-enabled platform focused on workflow automation and support operations.
This role blends hands-on engineering with technical leadership, owning delivery across frontend, backend, APIs, and AI-driven workflows at scale.
The Opportunity
You will lead the build of an end-to-end internal platform used by employees to manage workflows, automate tasks, and enhance operational efficiency.
This includes designing and implementing AI-powered workflows (e.g. automated support, task resolution, and intelligent routing) integrated with enterprise systems.
Key Responsibilities
Technical Leadership & Architecture
Define end-to-end architecture across frontend, backend, APIs, and AI-driven workflows Make architectural decisions aligned with enterprise standards and best practices Mentor engineers and provide hands-on technical guidance Ensure performance, scalability, security, and resilience
Full Stack Engineering
Build user-facing applications for internal users and support teams Develop backend services, APIs, and workflow engines Design and implement AI-powered workflows using LLMs Build features such as chat interfaces, task automation, and case management Implement guardrails, error handling, fallback logic, and human-in-the-loop processes
Delivery Ownership
Own delivery from design through to deployment Work with product and business stakeholders to define requirements Lead agile ceremonies and delivery planning Manage risks, dependencies, and technical challenges
Integration & Platform Enablement
Integrate with enterprise systems (e.g. identity, ITSM, collaboration tools) Implement secure authentication, RBAC, and auditing Support production release and operational readiness
Governance & Stakeholder Communication
Ensure compliance with internal governance and security standards Communicate decisions and progress to technical and non-technical stakeholders Contribute to engineering best practices
Core Requirements
Strong full stack development experience (frontend + backend) Proficiency in Python, Node.js, or Java Experience building production-grade APIs and web applications Experience leading technical delivery in agile environments Strong API design, system design, and architectural skills Understanding of LLM APIs, prompt engineering, and AI workflows Strong knowledge of security, authentication, and secure coding Experience working in enterprise or regulated environments
Preferred Experience
Experience integrating with ITSM tools (e.g. ServiceNow, Jira, Zendesk) Experience with collaboration platforms (e.g. Slack, Teams) Experience building internal platforms or enterprise tools Exposure to financial services or regulated industries Experience with cloud-native architectures and CI/CD
Working Model
~ Hybrid working (typically 3 days on-site)
Compensation
Competitive contract rate Flexible depending on scope and experience…