Senior AI Agent Engineer – Multi-Agent Systems

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

Job summary

An innovative tech company in Singapore is seeking an AI Agent Engineer to design and implement cutting-edge agentic systems. The ideal candidate should have 3-7 years of software engineering experience focused on AI/LLM systems, with strong skills in Python and familiarity with agent frameworks like LangGraph and LangChain. Responsibilities include developing MCP server components, optimizing AI pipelines, and collaborating with product teams to deliver innovative solutions in automation and analytics.

Benefits

Opportunity to work with GPT-5/Claude frameworks

Collaboration with senior engineering and AI research teams

Influence architectural decisions in AI platform

Qualifications

• 3–7+ years of software engineering experience with a focus on AI/LLM systems.
• Hands-on experience building MCP servers.
• Strong proficiency in Python with experience in FastAPI or Django.
• Experience with agentic frameworks like LangGraph or LangChain.
• Understanding of LLMs and vector databases like FAISS or Pinecone.

Responsibilities

• Design and implement multi-agent architectures for workflow automation.
• Develop and maintain MCP server components.
• Integrate multiple AI components for optimized execution.
• Fine-tune LLMs for specific agent behaviours.
• Collaborate with product teams to translate requirements into implementations.

Skills

Python

Agentic frameworks

MCP server architecture

Multi-agent workflows

LLMs and embeddings

Tools

FastAPI

Django

AWS

GCP

Azure

Docker

Kubernetes

LangGraph

LangChain

AutoGen

Job description

An innovative tech company in Singapore is seeking an AI Agent Engineer to design and implement cutting-edge agentic systems. The ideal candidate should have 3-7 years of software engineering experience focused on AI/LLM systems, with strong skills in Python and familiarity with agent frameworks like LangGraph and LangChain. Responsibilities include developing MCP server components, optimizing AI pipelines, and collaborating with product teams to deliver innovative solutions in automation and analytics.