AI Rudder Hiring! Full Time AI Software Engineer (Full-Stack)(A252801) in Federal Territory - Ricebowl

Responsibilities：

As a AI Software Engineer (Full-Stack), you will be at the forefront of driving business initiatives, working closely with cross-functional teams to understand complex business challenges and develop scalable solutions that address operational and technical needs. You will own end-to-end problem-solving journeys, from identifying opportunities and defining requirements to supporting implementation, measuring outcomes, and continuously improving solutions.

Key Responsibilities:

- Own a complete business or technical domain from problem definition and architecture through prototype, implementation, launch, measurement, and retrospective.

- Break down complex, ambiguous problems into cohesive, loosely coupled, independently testable workstreams that can be executed in parallel by people and AI agents.

- Design and evolve highly available, scalable, maintainable systems with clear service boundaries, API and event contracts, data flows, state machines, and failure-handling strategies.

- Make explicit trade-offs across latency, performance, availability, security, cost, delivery speed, and long-term evolution.

- Design for retries, timeouts, idempotency, cancellation, compensation, version compatibility, observability, auditability, graceful degradation, and human intervention.

- Use AI across research, architecture, coding, testing, debugging, documentation, and operational analysis while verifying critical outputs rather than accepting them blindly.

- Coordinate collaboration across product, engineering, quality, operations, security, and business teams; surface assumptions, risks, unknowns, and dependencies early.

- Move effectively across related projects, rapidly understand unfamiliar business flows and codebases, and identify the few decisions that matter most.

- Turn personal practices into reusable tools, skills, templates, engineering standards, and playbooks that help the wider team move faster.

Qualifications：

- Strong expertise in at least one language: You must be highly proficient in either Go or Python and able to design, implement, review, and troubleshoot production systems at code level. Expertise in both is welcome but not required.

- Architecture that reaches production: You have delivered complex systems involving distributed services, high concurrency, high availability, observability, disaster recovery, security, and controlled evolution.

- Depth and breadth: You have deep knowledge in at least one or two relevant areas—such as real-time media, speech systems, LLM inference, distributed systems, scheduling, cloud platforms, or reliability engineering—and enough breadth to make end-to-end decisions.

- Judgement under uncertainty: You can make high-quality decisions when information is incomplete, goals conflict, or resources are limited, and you can explain the trade-offs and likely second-order effects.

- Problem decomposition: You can turn a large, unclear goal into well-bounded modules, interfaces, milestones, and verification steps.

- Ownership and initiative: You do not wait for step-by-step instructions. You clarify assumptions, close information gaps, identify risks, coordinate resources, and keep the work moving until the outcome is achieved.

- Technical taste: You prefer simple, clear, maintainable designs and know how to avoid both short-term patchwork and premature platform building.

- Communication: You can lead architecture reviews, make complex topics understandable to different audiences, and create documents that allow others to continue the work independently.

- Mandarin: Fluent spoken Mandarin is required because this role regularly leads requirement discussions, architecture reviews, and delivery coordination with Mandarin-speaking product, engineering, and business stakeholders.

- English: Professional working proficiency is required for Malaysia-based collaboration, regional communication, and technical documentation.