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Artificial Intelligence Engineer

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Onsite

Artificial Intelligence Engineer

PhillipCapital

Artificial Intelligence Engineer

Skills

SQL QueriesFlaskPythonPostgreSQLMachine LearningAIAWSFastAPI

2 months ago

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Important information


Contract type:

Permanent

Location:

Singapore

Work mode:

Onsite

Published on:

30 August 2026

What they need


About the Role:

We are looking for an AI Engineer to design, develop, and deploy intelligent systems powered by machine learning and Large Language Models (LLMs). You will work closely with engineering and product teams to integrate AI capabilities into scalable applications using Python and cloud platforms (AWS preferred).

Key Responsibilities:

  • Design and develop AI/ML and LLM-based solutions for real-world applications
  • Build and deploy LLM pipelines (e.g. prompt engineering, RAG, fine-tuning where applicable)
  • Develop APIs and backend services to integrate AI models into applications
  • Work with structured and unstructured data, including data preprocessing and ETL pipelines
  • Optimize model performance, cost, and latency for production use
  • Deploy AI solutions using cloud services (AWS serverless preferred)
  • Monitor, evaluate, and improve model outputs continuously
  • Collaborate with cross-functional teams (engineering, product, design)

Requirements:

  • Proven experience as an AI Engineer / Machine Learning Engineer
  • Strong programming skills in Python
  • Experience with LLM frameworks (e.g. OpenAI, LangChain, LlamaIndex), Prompt engineering and RAG architectures
  • Solid understanding of machine learning fundamentals, data pipelines and ETL processes
  • Experience building and deploying APIs (FastAPI, Flask, etc.)
  • Familiarity with databases such as SQL (PostgreSQL) and Vector databases (e.g. Pinecone, FAISS, Weaviate)
  • Experience with AWS or other cloud platforms
  • Understanding of software engineering best practices (Git, testing, CI/CD)
  • Bachelor’s degree in Computer Science, Engineering, or related field

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