AI Engineer

VINE INFOTECH PRIVATE LIMITED; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A technology company in Singapore seeks a skilled AI Developer to design and implement multi-agent AI systems. The role involves developing both backend services in Python and frontend components using React.js, as well as integrating various LLM services. The ideal candidate has strong hands-on experience with AI frameworks such as LangChain and CrewAI. Excellent communication skills are essential for translating business requirements into technical solutions.

Qualifications

• Strong hands-on experience with multi-agent AI system design and implementation.
• Proficient in Python for backend development and React.js for frontend development.
• Practical experience using agent frameworks like LangChain, LangGraph, CrewAI.

Responsibilities

• Design and build a reusable multi-agent AI system that can support multiple projects.
• Integrate both self-hosted LLM models and commercial LLM services.
• Develop backend services in Python and maintain frontend components using React.js.

Skills

Multi-agent AI system design

Python

React.js

LangChain

LangGraph

CrewAI

Agent evaluation approaches

Technical documentation

Communication skills

Job description

Responsibilities

• Design and build a reusable multi-agent AI system that can support multiple projects and use cases
• Define agent roles, responsibilities, and interaction patterns, including planning, coordination, and handoff
• Implement agent orchestration using frameworks such as LangChain, LangGraph, CrewAI
• Integrate both self-hosted LLM models and commercial LLM services
• Develop backend services in Python, including:
  • Agent orchestration and execution logic
  • Tool integration 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 such as review, approval, and override
• Implement agent evaluation and monitoring mechanisms, covering:
  • Response quality and correctness
  • Performance and latency
  • Cost and resource usage
• Work with business users from different departments to understand requirements and workflows, and translate business problems into agent-based solutions
• Produce technical documentation, including design documentation, agent patterns and usage guidelines

Qualifications

• Strong hands-on experience with multi-agent AI system design and implementation
• Proficient in Python for backend development and React.js for frontend development
• Practical experience using LangChain, LangGraph, CrewAI, or similar agent frameworks
• Experience working with both self-hosted LLMs and commercial LLM APIs
• Familiarity with agent evaluation approaches and AI quality assessment
• Good understanding of LLM limitations, such as hallucinations and non-deterministic behaviour
• Ability to design reliable 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