AI Agent Specialist

SIGNALPLUS SG PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading technology firm in Singapore is seeking an expert to develop intelligent autonomous agents utilizing frameworks like LangChain. The role focuses on designing context-driven AI architectures, integrating these agents into core systems, and ensuring tool reliability. Ideal candidates will have extensive experience with LLM APIs, event-driven architectures, and contributions to AI tooling. This position offers opportunities for innovation in a collaborative environment.

Qualifications

• Hands-on experience with LLM APIs and vector stores.
• Familiarity with multi-step reasoning and context modeling.
• Experience in building workflow automation systems.

Responsibilities

• Develop multi-step reasoning agents using modern frameworks.
• Design AI architectures that are context-driven.
• Integrate agents into core internal systems.
• Build tooling for agent reliability.

Skills

Hands-on experience with LLM APIs

Understanding of orchestrators

Ability to translate complex workflows

Experience building autonomous agents

Knowledge of event-driven architectures

Contributions to AI/LLM tooling

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