Senior AI Engineer - Enterprise LLM Architect (Singapore)

ABeam Consulting

Singapore

On-site

SGD 120,000 - 200,000

Full time

4 hours ago
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Job summary

ABeam Consulting, a global professional services firm, seeks an AI Engineering Senior Consultant in Singapore to lead enterprise AI design, development and deployment. You will work across sales, architecture and engineering to translate business needs into scalable AI solutions using LLMs, RAG and agent frameworks.

The role emphasizes building robust Python back-ends with FastAPI, integrating AI with enterprise systems, and delivering production-ready demos, POCs and evaluations for client

Qualifications

  • 5+ years of hands-on presales, design, solutioning and implementation experience in Software Development, AI Engineering, Generative AI, or Agentic AI development.
  • Strong programming skills in Python.
  • Experience designing multi-agent workflows and tool-calling/orchestration architectures.
  • Familiarity with Azure / Azure OpenAI and cloud platforms.
  • Written and spoken fluency in English with business proficiency in Mandarin.

Responsibilities

  • Work with Sales to discover, identify, assess, prioritize, promote and drive realization of potential customer AI and Agentic AI use cases into actual projects.
  • Design and develop enterprise-grade AI applications and AI agents using LLMs, RAG and agent frameworks.
  • Build and orchestrate single-agent and multi-agent workflows with robust back-end services and APIs.

Skills

Python
LLMs
RAG
Agentic AI
API design
Back-end development
Stakeholder communication
English fluency
Cloud platforms

Education

Degree in Computer Science or related discipline

Tools

LangChain
LangGraph
MCP
FastAPI
Azure OpenAI

Job description

ABeam Consulting, a global professional services firm, seeks an AI Engineering Senior Consultant in Singapore to lead enterprise AI design, development and deployment. You will work across sales, architecture and engineering to translate business needs into scalable AI solutions using LLMs, RAG and agent frameworks.

The role emphasizes building robust Python back-ends with FastAPI, integrating AI with enterprise systems, and delivering production-ready demos, POCs and evaluations for client

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