SalaryPeak

AI Engineer – Multi-Agent AI Systems

WSH EXPERTS PTE. LTD.
Singapore 1+ years Posted Feb 6, 2026

Salary Range

SGD 42,000 - SGD 51,600 /year

SGD 3,500 - SGD 4,300/month

Skills Required

Technical DocumentationCSSArtificial IntelligenceAgileSystem DesignPythonCommunication SkillsData ScienceOrchestrationBusiness DevelopmentAPIDatabasesSoftware Development

Job Description

Job Responsibilities

  • Design and build a reusable multi-agent AI system that supports multiple projects and use cases

  • Define agent roles, responsibilities, and interaction patterns, including planning, coordination, and task handoff

  • Implement agent orchestration using frameworks such as LangChain, LangGraph, CrewAI, or similar

  • Integrate self-hosted LLMs as well as commercial LLM APIs

  • Develop backend services in Python, including:

    • Agent orchestration and execution logic

    • Tool integrations and external API access

    • Backend APIs for frontend consumption

  • Develop and maintain frontend components using React.js, including:

    • User interfaces for interacting with AI agents

    • Visualisation of agent outputs and intermediate results

    • Human-in-the-loop workflows (review, approval, override)

  • Implement agent evaluation and monitoring, covering:

    • Response quality and correctness

    • Performance and latency

    • Cost and resource usage

  • Work closely with business users across departments to understand workflows and translate business needs into agent-based solutions

  • Produce technical documentation, including system design, agent patterns, and usage guidelines

Job Requirements

  • Diploma or higher qualification in Artificial Intelligence, Data Science, Computer Science, or a related field

  • Strong hands-on experience in multi-agent AI system design and implementation

  • Proficient in Python (backend) and React.js (frontend)

  • Practical experience with LangChain, LangGraph, CrewAI, or similar AI agent frameworks

  • Experience working with both self-hosted LLMs and commercial LLM services

  • Familiarity with agent evaluation techniques and AI quality assessment

  • Solid understanding of LLM limitations, including hallucinations and non-deterministic behavior

  • Ability to design reliable AI systems with appropriate guardrails and human-in-the-loop controls

  • Strong communication skills and ability to engage business users with varying technical backgrounds

  • Able to work independently while collaborating closely with internal teams