Artificial Intelligence Engineer

Phillip Capital Inc.; Singapore; On-site; SGD 100,000 - 150,000; Full time

Job summary

Phillip Securities Pte Ltd is seeking an AI Engineer to design, develop, and deploy intelligent systems powered by machine learning and LLMs, using Python and cloud platforms. You will design AI/ML solutions, build LLM pipelines, deploy APIs, and optimize performance across data pipelines and production environments, in collaboration with engineering and product teams.

The role emphasizes scalable applications, cloud deployment (AWS preferred), and ongoing monitoring of model outputs for quality

Qualifications

• Bachelor's degree in CS/Engineering or related field.
• Experience with AI/ML and LLM deployments.
• Strong Python programming skills.
• Experience with data pipelines and ETL processes.
• Experience deploying APIs (FastAPI, Flask).

Responsibilities

• Design and develop AI/ML and LLM-based solutions for real-world applications.
• Build and deploy LLM pipelines (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).

Skills

Python programming

LLM frameworks

Prompt engineering

RAG architectures

APIs design

Data pipelines & ETL

AWS / cloud platforms

Git

CI/CD

SQL (PostgreSQL)

Education

Bachelor's degree in Computer Science or related field

Tools

OpenAI API

LangChain

LlamaIndex

FastAPI

PostgreSQL

Pinecone

FAISS

Weaviate

AWS services

Job description

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)