Artificial Intelligence Engineer

Phillip Securities Pte Ltd; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Phillip Securities Pte Ltd is seeking an AI Engineer to design, develop, and deploy ML/LLM-powered systems using Python and cloud platforms like AWS.

You will build LLM pipelines, APIs, and data ETL processes, collaborating with engineering and product teams to deliver scalable AI solutions for real-world applications.

Qualifications

• Proven experience as an AI Engineer / MLE.

Responsibilities

• Design and develop AI/ML and LLM-based solutions for real-world applications.
• Build and deploy LLM pipelines including prompt engineering and RAG.
• Develop APIs and backend services to integrate AI models into applications.
• Work with structured and unstructured data including 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).

Skills

Python

LLM frameworks

Prompt engineering

RAG architectures

APIs development

ETL pipelines

Cloud platforms

Git/CI-CD

Education

Bachelor’s degree in Computer Science or related field

Tools

OpenAI

LangChain

LlamaIndex

FastAPI

SQL (PostgreSQL)

Vector DBs (Pinecone/FAISS/Weaviate)

AWS

Git

Job description

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

We regret that only shortlisted candidates will be notified.

Brought to you by Phillip Securities Pte Ltd (A member of PhillipCapital)