• Design and develop Python-based AI systems, APIs, and microservices • Build and manage GenAI and agentic AI workflows using modern LLM frameworks • Lead end-to-end AI project delivery, from requirements to production • Design LLM pipelines, prompts, and agent orchestration systems • Ensure scalability, security, and reliability of AI solutions • Mentor junior engineers and provide technical leadership • Collaborate with global clients to translate business needs into AI solutions

• Build and maintain full-stack systems: Develop and maintain web clients and backend services using JavaScript, Vue.js, PHP, and supporting technologies (e.g., Node.js where relevant). • Collaborate cross-functionally: Work closely with Product and UX to translate requirements into well-scoped, deliverable technical solutions. • Own delivery end-to-end: Contribute across the SDLC - from pull requests and code reviews through to containerised deployments on GCP with a focus on reliability and observability. • Monitoring and observability: Maintain and extend dashboards to monitor service health during and after deployments; support incident investigation and performance tuning. • Debug and improve systems: Troubleshoot complex issues across services, implement fixes quickly, and drive long-term improvements to prevent recurrence.

• Design, develop, and maintain high-performance, scalable backend services in Python. • Collaborate with development, QA, and product teams to ensure quality deliveries. • Participate in architectural decisions and define technical best practices. • Implement and maintain continuous integration and continuous delivery (CI/CD) pipelines. • Write automated tests and contribute to code coverage. • Support system migration efforts and refactor legacy code. • Document technical processes, data flows, and architectural decisions. • Communicate effectively in English with global, multicultural teams.

• Support complex integration programmes across the Blue Yonder solution space (Planning + Execution) • Provide architectural oversight for customer engagements, ensuring consistent and scalable patterns across teams • Partner with Professional Services and field teams to guide early implementations and improve deployability and operability • Share your knowledge within the Lighthouse team as well as ensure that your colleagues from Professional Services get to know what you explore and learn • Propose and develop standardized integration patterns, artefacts (e.g., Starter-kits) and best practices across Platform services for Planning and Execution solutions • Work with Product Development to test, validate, and provide structured feedback on integration features across the Blue Yonder Platform • Propose, define, design, and build agentic integration artefacts and tools that drive standardisation and stability, while reducing effort and complexity in integration implementations • Influence how AI-driven integration scenarios are tested, validated, and deployed within the Platform Lighthouse ecosystem