Backend Engineer (Multiple HC) - AI Agents / Information Technology / AI adoption / Internet / [...]

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

Job summary

Dada Consultants in Singapore is seeking an AI Agent Backend Engineer to own design and scale robust AI Agent systems. You will work on end-to-end performance optimisations in high-concurrency production environments and collaborate across teams to deliver production-ready Agent solutions.

You will contribute to RAG, tool-calling interfaces, and multi-agent coordination, while driving technical advancements in agent context engineering and execution pipelines.

Qualifications

• BS/BA in Computer Science, Software Engineering or related field.
• Hands-on software engineering experience in Python/TypeScript/Java/Golang or C/C++.
• Experience with enterprise-level AI projects and agent frameworks.
• Familiarity with agent orchestration tools and LLM frameworks.

Responsibilities

• Develop end-to-end performance optimisations for enterprise-grade AI Agent systems.
• Implement modules for Retrieval-Augmented Generation (RAG), tool-calling interfaces, and multi-agent coordination.
• Package reusable AI components to accelerate product iteration and engineering efficiency.
• Advance agent context engineering and high-performance execution pipelines.
• Design benchmark Agents to evaluate performance under real-world scenarios.
• Research and integrate emerging Agent technologies to stay competitive.

Skills

Python

TypeScript

Java

Golang

C/C++

Education

Bachelor's degree in Computer Science, Software Engineering or related

Tools

Agent Harness

Agent Loop

LangChain

Dify

Job description

Our clients are fast growing technology companies building enterprise-grade AI Agents that power the next generation of intelligent automation. They are seeking a talented AI Agent Backend Engineer to join their core engineering team and take ownership of designing and scaling robust Agent systems. This is a high-impact role for someone who wants to shape the technical direction of an AI platform at the frontier of agentic AI development.

Key Responsibilities

• Develop end-to-end performance optimisation of enterprise-grade AI Agent systems, ensuring reliability and stability under high-concurrency production environments
• Implement and refine key modules including Retrieval-Augmented Generation (RAG), tool-calling interfaces, and multi-agent collaboration frameworks to support complex business workflows
• Package and standardise reusable AI components that accelerate product iteration cycles and improve engineering efficiency across teams
• Drive technical advancements in Agent context engineering, high-performance execution pipelines, and self-optimisation mechanisms
• Design and maintain benchmark Agents to evaluate system performance and validate new capabilities against real-world scenarios
• Proactively research and integrate emerging Agent technologies to maintain a competitive edge within the team's development platform
• Collaborate closely with cross-functional stakeholders to translate business requirements into scalable, production-ready Agent solutions

Requirements

• Bachelor's degree or above in Computer Science, Software Engineering, or a related discipline, with at least 1 years of hands-on software engineering experience in one or more of the following: Python, TypeScript, Java, Golang or C/C++
• Demonstrated experience contributing to enterprise-level Agentic AI projects, with solid working knowledge of Agent frameworks including Agent Harness and Agent Loop concepts
• In-depth familiarity with the design philosophy of at least one mainstream Agent or LLM orchestration framework (e.g., LangChain, Dify, or equivalent open-source tooling)
• Strong understanding of agentic AI principles including planning, memory management, tool use, and multi-agent coordination patterns
• Active participation in open-source AI or developer communities (is a bonus)