Build, lead and manage a high-performing team in the creation, maintenance, and optimization of our internal data, training, and evaluation pipelines specific to perception modelling team.
Lead the technical direction of the PAX iOS app, including architecture, modularisation, and coding principles that enable engineers and AI agents to extend the app safely.
Our client is an established financial institution operating within financial markets. They are looking for experienced software engineers who combines strong engineering fundamentals with a product-oriented approach to problem solving. The position offers the opportunity to work across the technology lifecycle, turning loosely defined business needs into secure, reliable applications and services within a highly governed environment. Role You will take ownership of technology initiatives from early discovery through implementation and ongoing production support. Working closely with business and technology stakeholders, you will help define scope, test concepts through rapid experimentation, and translate successful ideas into resilient production solutions. A key part of the role involves incorporating AI-assisted and agent-based engineering practices across areas such as requirements analysis, software development, testing, deployment and operations, while also contributing to reusable engineering tools and workflows. Depending on the problem, you may work with distributed architectures, event-driven systems, container orchestration, APIs and performance-sensitive communication technologies. You will also establish appropriate engineering controls around testing, release processes, monitoring, security, documentation and operational support. Requirements You should have at least 8 years of professional software engineering experience, including demonstrable ownership of applications or platforms through development, deployment and production operation. Hands-on experience using coding agents or building AI-enabled development workflows across multiple stages of the software delivery lifecycle is important. You should be proficient in at least two contemporary programming languages, and be comfortable adopting new technologies where required. Strong knowledge of distributed systems, APIs, messaging, CI/CD, testing, observability and application security is expected, together with the judgement to choose appropriate levels of architectural complexity. The role suits someone who can work effectively without fully prescribed requirements and is comfortable operating in regulated or highly controlled environments. Exposure to financial markets protocols, developer platforms, agent frameworks, internal engineering tooling or front-end development would be useful but is not essential. To Apply To apply, please submit your resume to Yien Quek at yq@kerryconsulting.com. We regret to inform that only successful shortlisted candidates will be notified. Licence No: 16S8060
Build and maintain mobile infrastructure, tooling, and shared frameworks that improve engineering efficiency and developer experience across the organisation.
Lead the overall architecture design and core capability development of the AI Agent platform, including task orchestration, tool invocation, context management, memory mechanisms, and multi-agent collaboration.
Maintain, enhance, and debug the homegrown MES application across the full stack — React frontend, C# REST API backend, and Microsoft SQL Server database.