Agent Runtime & Infrastructure Engineer – AI Orchestration

DADACONSULTANTS PTE. LTD.; Singapore; On-site; SGD 120,000 - 200,000; Full time

Job summary

DADACONSULTANTS PTE. LTD. in Singapore seeks a senior software engineer to build the core systems of the AI agent runtime and control layer, owning context, memory, model and tool orchestration, planning and execution.

You will drive design, rollout and ongoing improvements, enhance agent performance through context engineering, prompting, retrieval and architecture, and collaborate with product, research, infra and security to identify risks and ensure reliable delivery.

Qualifications

• 5+ years of software engineering experience with shipping production systems.
• Strong backend or distributed-systems foundations: concurrency, queues, persistence, observability.
• Ability to independently own complex systems or critical components and ensure delivery quality.
• Effective use of AI tools for research, coding and validation, while using your own judgement.

Responsibilities

• Own core components across context and memory, model and tool orchestration, task planning and execution.
• Define the problem and success criteria when requirements and approaches are unclear, then drive design, implementation, rollout and ongoing improvement.
• Improve agent performance through context engineering, prompt design, retrieval, tooling and architecture.
• Build reproducible agent evaluations, regression tests and end-to-end observability, using real tasks and production failures to guide improvements.
• Work with product, research, infrastructure and security teams on design reviews and risk identification.

Skills

5+ years exp

Distributed systems

Ownership

AI tooling

Job description

DADACONSULTANTS PTE. LTD. in Singapore seeks a senior software engineer to build the core systems of the AI agent runtime and control layer, owning context, memory, model and tool orchestration, planning and execution.

You will drive design, rollout and ongoing improvements, enhance agent performance through context engineering, prompting, retrieval and architecture, and collaborate with product, research, infra and security to identify risks and ensure reliable delivery.