Senior Software Engineer

Chubb Ltd.; Malaysia; On-site; MYR 100,000 - 150,000; Full time

Job summary

Chubb Ltd. is seeking an experienced software engineer to lead AI-driven development across full-stack platforms in a regulated financial services environment. You will code, test, and review AI-enhanced features, and collaborate with QA to ensure robust acceptance criteria.

You will mentor peers, shape team AI practices, and translate organizational AI objectives into scalable, production-grade outcomes while maintaining engineering judgment on AI outputs.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or related discipline.
• Hands-on proficiency with AI coding assistants and agentic development frameworks as primary development interface.
• Practical experience with automated end-to-end testing frameworks.
• Proficiency in modern full-stack development across front-end and back-end technologies.
• Cloud development experience (Azure preferred).
• Strong prompt engineering skills with ability to decompose ambiguous requirements.
• Proven ability to critically assess and verify AI-generated code.

Responsibilities

• Implement features end-to-end with appropriate test coverage.
• Manage full pull request lifecycle: branch, implement, review, merge.
• Write unit and integration tests for all features.
• Conduct code reviews focused on correctness, security, and maintainability.
• Integrate AI models and APIs with enterprise applications for scalable, secure delivery.
• Lead senior-level standups, keep discussions technical and time-boxed.
• Own squad-level technical decisions and escalate cross-squad concerns as needed.
• Mentor peers on software engineering practices and AI tooling judgment.
• Define and champion team AI development standards and responsible use guidelines.
• Build AI literacy through knowledge sharing, demos, and documentation.

Skills

AI coding assistants

Agentic development frameworks

Full-stack development

Azure Cloud

Prompt engineering

AI code verification

Education

Bachelor's degree in Computer Science or related

Tools

End-to-end testing frameworks

LLM APIs

Job description

A software engineering role where AI is the primary mode of working — not a productivity aid but the default interface for design, development, testing, and delivery. Engineers at all levels are expected to apply AI coding assistants and agentic development frameworks as standard practice, while maintaining the engineering judgement to know when to trust, challenge, or override AI-generated outputs. Lead by example — shape team AI practices, mentor others, and translate organizational AI objectives into scalable, production-grade outcomes.

Accountabilities & Responsibilities

• Implement features and technical stories end-to-end including appropriate test coverage
• Manage the full pull request lifecycle: branch, implementation, review response, merge
• Write unit and integration tests for all implemented features
• Conduct code reviews focused on correctness, security, and long-term maintainability
• Integrate AI models and APIs with enterprise applications, ensuring scalability, security, and maintainability
• Facilitate daily standup at senior level; keep it time-boxed, technical, and impediment-focused
• Own squad-level technical decisions at senior level; escal cross-squad concerns to HoE
• Mentor peers on software engineering practices and AI tooling judgment
• Define and champion team AI development standards — prompt engineering practices, output validation protocols, and responsible use guidelines aligned to regulatory requirements
• Build organizational AI literacy through knowledge sharing, demos, and documentation on emerging tools and practices
• Collaborate with QA engineers on acceptance criteria and test scenarios
• Ensure all AI-assisted development adheres to security, data protection, and compliance standards in a regulated financial services environment
• Use AI to assist in writing and maintaining technical documentation, API specifications, and code comments to enterprise-grade standards
• Participate actively in sprint ceremonies, retrospectives, and team discussions
• Support hiring at senior level: technical interviews and code assessment review

Technical skills:

Qualifications

Skills & Qualifications

Required: Bachelor's degree in Computer Science, Information Technology, or a related discipline. Hands-on proficiency with AI coding assistants and agentic development frameworks as a primary development interface. Practical experience with automated end-to-end testing frameworks. Proficiency in modern full-stack development across front-end and back-end technologies. Cloud development experience (Microsoft Azure preferred). Strong prompt engineering skills — ability to decompose ambiguous requirements into precise, effective AI task instructions. Proven ability to critically assess and verify AI-generated code rather than solely generate it.

Experience integrating LLM APIs into enterprise-grade applications. Track record of building and shipping production applications using AI-augmented workflows with measurable outcomes. Experience leading technical workstreams or coaching others on AI development practices. Sound judgement on when AI output requires independent human review, particularly in regulated or client-facing contexts.

Job Info

• Job Identification 37620
• Job Schedule Full time
• Regular or Temporary Regular
• Job Category Software Engineering
• Business Unit Malaysia
• Legal Employer Chubb Business Services Malaysia Sdn Bhd