Software Engineer, AI-Focused - #1588

Core Responsibilities ·       Work with stakeholders to assess business needs and recommend appropriate technology and implementation approaches, including build vs. buy and in-house vs. outsourced delivery. ·       Design, develop, enhance and support enterprise applications deployed on-premises or in the cloud. ·       Develop secure APIs, system integrations and application services. ·       Build and integrate AI-enabled capabilities using LLM APIs, RAG, AI agents, tool calling and related technologies where appropriate. ·       Lead assigned application development and enhancement projects from requirements gathering through testing, deployment and operational handover. ·       Manage project scope, timelines, risks, dependencies, vendors and stakeholder communications. ·       Coordinate system integration testing and User Acceptance Testing (UAT). ·       Apply Agile, Scrum or hybrid delivery practices to support iterative development and delivery. ·       Apply DevOps practices including Git, automated testing, CI/CD, containerisation, monitoring and logging. ·       Deploy and support applications on AWS, Microsoft Azure and/or Google Cloud Platform. ·       Monitor the performance and fitness of assigned systems and recommend improvements to reliability, efficiency and user experience. ·       Evaluate emerging software, cloud and AI technologies and recommend their adoption where they provide clear business value. Core Requirements ·       Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information Technology or a related discipline, or equivalent practical experience. ·       Minimum five years of relevant experience in software development, application delivery or enterprise system implementation. ·       Strong proficiency in at least one programming language or platform, such as C#/.NET, Java or Python. ·       Experience developing web applications, APIs and system integrations. ·       Hands-on experience with at least one major cloud platform: AWS, Microsoft Azure or Google Cloud Platform. ·       Familiarity with Git, CI/CD, automated testing, Docker, microservices and DevOps practices. ·       Practical experience or exposure to AI-enabled application development, including LLM APIs, RAG, AI agents, embeddings/vector search or agentic frameworks. ·       Good understanding of the full SDLC and experience managing or coordinating application delivery projects. ·       Familiarity with Agile, Scrum or hybrid project delivery methods. ·       Strong analytical, planning, communication and stakeholder-management skills. Advantageous Experience ·       Experience with Kubernetes, infrastructure as code or cloud-native architecture. ·       Exposure to AI frameworks such as LangChain, LangGraph, Semantic Kernel, CrewAI or Model Context Protocol. ·       Experience managing vendors or system integrators. ·       Cloud, Agile or project management certifications. ·       Experience with Design Thinking or Service Design methodologies. Qualifications and Personal Attributes ·       Bachelor's degree in Computer Science, Software Engineering, Information Technology or a related field, or equivalent practical experience. ·       Strong analytical and problem-solving skills, with the ability to troubleshoot across application, integration and cloud layers. ·       Clear communication and effective collaboration within cross-functional teams. ·       Self-motivated, adaptable and willing to learn evolving technologies while maintaining sound engineering judgement. ·       Ability to manage competing priorities and deliver effectively in an Agile or hybrid delivery environment.