AI Developer (LLM & Model Training)

Visa Hunt

Singapore

On-site

SGD 120,000 - 180,000

Full time

14 days+
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Job summary

Visa Hunt in Singapore seeks a hands-on Senior AI Engineer to design, build, and deploy AI-powered solutions using LLMs, GenAI, and ML models.

You'll own the full AI lifecycle from RAG development to production deployment, including training, fine-tuning, prompts, and tool integrations via Python and APIs.

Candidates should have 3+ years in AI engineering, strong Python skills, and experience with vector databases and tools like Claude, Gemini, ChatGPT, LangChain, or LangGraph.

Qualifications

  • Experience building AI solutions with LLMs and GenAI.
  • Hands-on model training and fine-tuning.
  • Strong Python skills and AI frameworks.
  • Familiarity with Claude, Gemini, ChatGPT.
  • Experience with vector databases.
  • Excellent problem-solving and communication skills.

Responsibilities

  • Build AI-powered applications, agents, and automation workflows.
  • Design and implement RAG pipelines, vector databases, and knowledge retrieval systems.
  • Train, fine-tune, and optimise AI/ML models for business use cases.
  • Develop prompts, tool-calling workflows, and AI integrations.
  • Integrate AI solutions into products and business systems using Python and APIs.
  • Evaluate model performance and continuously improve accuracy and reliability.

Skills

Python
LLMs
GenAI
RAG
AI agents
VectorDBs
Claude
Gemini
ChatGPT
LangChain
LangGraph
Model training

Tools

Pinecone
Qdrant
Weaviate
pgvector

Job description

Role: Senior AI Engineer (LLM, GenAI & Model Training)

Location:Central, Singapore

Employment Type:Perm

About the role

We're looking for a hands-on AI Engineer to design, build, and deploy AI-powered solutions using LLMs, GenAI technologies, and machine learning models. This role covers the full AI lifecycle, including workflow automation, RAG development, agentic AI,model training, and production deployment.

Key responsibilities

  • Build AI-powered applications, agents, and automation workflows
  • Design and implement RAG pipelines, vector databases, and knowledge retrieval systems
  • Train, fine-tune, and optimise AI/ML models for business use cases
  • Develop prompts, tool-calling workflows, and AI integrations
  • Integrate AI solutions into products and business systems using Python and APIs
  • Evaluate model performance and continuously improve accuracy and reliability

About you

  • 3+ years of experience in AI Engineering including Machine Learning,
  • Hands-on experience with LLMs, GenAI, RAG, and AI agents
  • Experience in model training, fine-tuning, or machine learning development
  • Strong Python skills and experience working with AI frameworks
  • Familiarity with tools such as Claude, Gemini, ChatGPT, LangChain, LangGraph, or similar
  • Experience with vector databases such as Pinecone, Qdrant, Weaviate, or pgvector
  • Strong problem-solving and communication skills

Reg No: R21100713

EA Licence: 11C3017

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