AI Agent Developer

SIGNALPLUS SG PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A technology company in Singapore is seeking a professional to develop intelligent autonomous agents. The role includes designing context-driven AI architectures and integrating agents into core systems to ensure reliability. Ideal candidates will have hands-on experience with LLM APIs and a solid understanding of orchestrators and tool-calling systems.

Qualifications

• Hands-on experience with LLM APIs, agent frameworks, and retrieval pipelines.
• Understanding of orchestrators, tool-calling systems, and multi-step reasoning.
• Experience building autonomous agents or workflow automation systems.

Responsibilities

• Build multi-step reasoning agents using frameworks like LangChain.
• Design workflows for agents to interact with tools and datasets.
• Integrate agents into core systems with monitoring tools.

Skills

Hands-on experience with LLM APIs

Understanding of orchestrators

Ability to translate complex workflows

Experience building autonomous agents

Knowledge of event-driven architectures

Job description

Responsibilities

1. Develop Intelligent Autonomous Agents

• Build multi-step reasoning agents using frameworks such as LangGraph, OpenAI Assistants, LangChain, or custom orchestrators
• Implement agent behavior that adapts to structured business rules, data context, and operational constraints
• Design workflows that allow agents to interact with internal tools, APIs, and datasets securely and reliably
• Ensure agents operate with predictable logic, proper guardrails, and clear decision boundaries

2. Design Context-Driven AI Architectures

Structure the information, rules, and environment agents rely on to perform accurate actions

• Build reusable context layers, memory strategies, evaluation components, and tool interfaces
• Work with cross-functional teams to convert business processes into well-defined context schemas and agent behaviors

3. Integrate Agents into Core Systems

• Connect agents with internal services, workflow engines, monitoring tools, and operational platforms
• Implement safe-action mechanisms, sandboxing, and auditability for higher-risk workflows
• Collaborate with engineers to deploy and maintain agents in production environments

4. Build Internal Tooling for Agent Reliability

• Develop libraries, testing utilities, simulation frameworks, and automated evaluation tooling
• Maintain performance, reliability, and versioning for agent-related components
• Diagnose agent behavior and optimize reasoning consistency, latency, and observability

Requirements

• Hands-on experience with LLM APIs, agent frameworks, vector stores, and retrieval pipelines
• Understanding of orchestrators, tool-calling systems, context modeling, and multi-step reasoning
• Ability to translate complex workflows into structured, machine-actionable logic
• Experience building autonomous agents or workflow automation systems
• Knowledge of event-driven architectures, distributed systems, or API integration
• Contributions to AI/LLM tooling, frameworks, or open-source projects