Backend Developer/AI Engineer

Candidate Description

Marked by more than a decade of hands-on software craftsmanship, this senior engineer excels at marrying robust microservices with cutting-edge AI capabilities. Operating across utilities, financial services, professional services and ISV sectors, they bring deep expertise in cloud platforms such as AWS, Azure and Google Cloud alongside mastery of Java, Python and modern DevOps practices. Their postgraduate education in Information Technology and Computer Science underpins strong analytical and problem-solving skills.

Adept at architecting retrieval-augmented generation (RAG) pipelines and agentic AI workflows, they have delivered scalable, cost-efficient solutions for organisations including a Technology Company, an Energy Company and a Consulting Firm. Their technical repertoire spans serverless architectures, containerisation with Docker and Kubernetes, Infrastructure as Code with Terraform, and continuous-integration pipelines that ensure rapid, high-quality releases. Key achievements include building an Energy Company's high-throughput metering data platform and launching a Financial Institution's inaugural SOA/ESB ecosystem in collaboration with software experts.

Beyond code, this professional champions collaborative engineering cultures mentoring junior developers, driving knowledge-transfer initiatives and embedding best-practice testing disciplines such as TDD/BDD. Comfortable leading architectural decisions and engaging stakeholders across diverse domains, they consistently translate complex requirements into resilient, future-ready systems. Their blend of AI innovation, cloud fluency and leadership acumen positions them as a valuable asset for organisations seeking transformative technology solutions.