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AI Engineer (LLM) (2 years contract)

Summary

Build and deploy LLM-powered AI systems, including RAG and agentic workflows, for enterprise knowledge tasks in the energy sector.

  • Generous compensation
  • Opportunity to build production AI systems

About Our Client

An organisation within the energy and natural resources sector, located in Singapore.

Job Description

Research, develop, and optimize AI/ML solutions with a focus on LLM-powered applications.

Design and implement Retrieval-Augmented Generation (RAG) systems that connect AI models with enterprise knowledge sources.

Build agentic workflows capable of planning tasks, using tools, and automating complex business processes.

Develop intelligent applications such as:

  • Enterprise knowledge assistants
  • Intelligent Q&A systems
  • Document processing and extraction solutions
  • Workflow automation tools



Fine-tune and optimize open-source or commercial language models using techniques such as SFT, LoRA, and QLoRA.

Deploy and maintain AI services in production environments

Collaborate with business stakeholders to identify use cases and translate them into scalable AI solutions.

  • Stay current with emerging developments in GenAI, agent frameworks, and LLM ecosystems.

The Successful Applicant

Degree in Computer Science, Mathematics, Engineering, or a related discipline.

Hands-on experience building and deploying AI applications.

Experience with LLM technologies and modern GenAI ecosystems.

Strong Python development skills.

Experience with:

  • RAG architectures
  • Vector databases
  • Embedding models
  • Prompt engineering
  • LLM APIs



Familiarity with agent frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, or similar.

Experience with model fine-tuning techniques including LoRA or QLoRA.

Knowledge of containerization and deployment technologies such as Docker and Kubernetes.

Ability to work across both technical and business stakeholders.

What's on Offer



This is a role to apply your AI expertise to impactful projects. apply to move forward in your career.

Contact

Cherish Choo (Lic No: R22107861 / EA no: 18C9065)

Quote job ref

JN-082026-7077610

Phone number

+6564169822

Michael Page International Pte Ltd | Registration No. 199804751N

See also