Agentic Artificial Intelligence (AI) Engineer

2 hours ago

Singapore, SingaporeMid Level

Responsibilities

Design and deliver production-ready LLM-first autonomous agents using structured outputs, stateless tools, and auditable reasoning.
Build multi-agent orchestration systems with bounded authority, graduated autonomy protocols, and traceable agent-to-agent handoffs.
Enforce runtime authority boundaries, idempotent actions, retry safety, validation, and escalation to human oversight.
Create comprehensive agent test suites covering normal, adversarial, and boundary-condition scenarios.
Integrate agents with enterprise systems through APIs, event queues, workflow orchestration, and Model Context Protocol interfaces.
Implement audit trails capturing rationale, tool calls, inputs, outputs, and human authority chains for regulatory review.
Monitor agent latency, reliability, reasoning quality, drift, and escalation rates in production.
Document agent architectures, limitations, authority definitions, compliance controls, and reusable patterns for the CoE knowledge base.
Participate in code reviews and contribute to shared standards for agent architecture and prompt engineering.

Degree in Computer Science, Software Engineering, or a related technical discipline.
At least 3 years of experience building production software systems.
At least 1 year of experience with LLM-integrated or agentic AI applications.
Experience delivering AI agents or LLM-integrated features in production environments.
Experience with LLM integration, prompt engineering, structured outputs, and tool use.
Proficiency in Python, asynchronous programming, type annotations, Pydantic data modelling, and pytest.
Knowledge of enterprise integration patterns including event-driven architecture, API gateways, service meshes, and saga patterns.
Experience with agent orchestration frameworks, workflow orchestration, ORM-based database access, and container deployment.
Understanding of idempotency, retry safety, graceful degradation, AI auditability, and explainability.
Basic awareness of EU AI Act high-risk system obligations.
Experience in regulated industries such as financial services, healthcare, or industrial operations is preferred.
Evidence of technical curiosity through side projects, internal tooling, writing, or community involvement is preferred.

10,000+ employees