Agent Harness Engineer (Agent Runtime / Context Engineering / Distributed Systems)

Dada Consultants Pte Ltd; Singapore; On-site; SGD 90,000 - 150,000; Full time

Benefits offered by this job

Competitive compensation

Ownership of core Agent systems

Job summary

Dada Consultants Pte Ltd is partnering with a leading AI technology company to recruit engineers for building the runtime and control systems behind production AI Agents. You will own core components spanning context, memory, model orchestration, and tool execution, while shaping reliable multi-step workflows.

The role emphasizes strong fundamentals in software engineering, ownership of complex systems, and the ability to deliver high-quality, testable software in a fast-paced environment.

Qualifications

• 3+ years of software engineering experience or equivalent demonstrated ability.
• Proven ownership of complex systems or critical components from design through production delivery.
• Strong backend or distributed systems experience, including concurrency, task queues, persistence, idempotency, and failure recovery.
• Ability to solve ambiguous problems, explain architectural trade-offs, and deliver maintainable, testable systems.
• Effective use of AI tools for research, coding, and validation, supported by independent technical judgment.

Responsibilities

• Design and build core Agent components covering context, memory, model and tool orchestration, task planning, and execution.
• Develop reusable tools and MCP integrations to support reliable multi-step workflows.
• Independently drive technical decisions, implementation, rollout, and ongoing improvements.
• Improve task success rates, reliability, latency, and cost through context engineering, retrieval, prompt design, and system architecture.
• Build reproducible evaluations, regression tests, and end-to-end observability, using production failures to guide improvements.
• Work with product, research, infrastructure, and security teams to define execution boundaries and maintain engineering quality.

Skills

Software engineering

Distributed systems

Backend development

System design

AI tooling usage

Tools

Concurrency

Task queues

Persistence

Idempotency

Failure recovery

Job description

We are partnering with a leading AI technology company expanding its core engineering team. The team is looking for exceptional engineers to build the runtime and control systems behind production AI Agents, tackling complex challenges in planning, tool execution, context management, and reliability.

This opportunity offers substantial technical ownership and highly competitive compensation for engineers with strong fundamentals and a proven ability to deliver complex systems.

Job Responsibilities:

• Design and build core Agent components covering context, memory, model and tool orchestration, task planning, and execution.
• Develop reusable tools and MCP integrations to support reliable multi-step workflows.
• Independently drive technical decisions, implementation, rollout, and ongoing improvements.
• Improve task success rates, reliability, latency, and cost through context engineering, retrieval, prompt design, and system architecture.
• Build reproducible evaluations, regression tests, and end-to-end observability, using production failures to guide improvements.
• Work with product, research, infrastructure, and security teams to define execution boundaries and maintain engineering quality.

Job Requirements:

• 3+ years of software engineering experience, or equivalent demonstrated ability, with strong software engineering and computer systems foundations.
• Proven ownership of complex systems or critical components, from design through production delivery.
• Strong backend or distributed systems experience, including concurrency, task queues, persistence, idempotency, and failure recovery.
• Ability to solve ambiguous problems, explain architectural trade-offs, and deliver maintainable, testable systems.
• Effective use of AI tools for research, coding, and validation, supported by independent technical judgment.

Nice to Have:

• Deep experience in context engineering, long-term memory, retrieval, model routing, MCP, multi-agent systems, or Agent evaluation.
• Experience with sandboxing, execution isolation, multi-tenancy, least privilege, prompt-injection defenses, or auditing.
• Open-source contributions, technical writing, or substantial proprietary engineering work. Engineers with founding or early-stage startup experience are welcome.

What They Offer:

• Highly competitive compensation.
• Ownership of core Agent systems with direct impact on product capability and reliability.
• Challenging engineering problems and close collaboration with strong technical peers.

About Us

Dada Consultants was established in 2017, with the commitment of providing the best recruitment services in Singapore. We are comprised of a dynamic head-hunting team dedicated to sourcing for highly competent professionals in IT industry. We provide enterprises with customized talent solutions, and bring talents to career advancement.

EA Registration Number: R26160730

Business Registration Number: 201735941W. Licence Number: 18S9037