- 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
Quote job ref: JN-082026-7077610
