Artificial Intelligence Engineer

Phillip Securities Pte Ltd
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Computer Programming
Databases
Continuous Integration
ETL
Python
PostgreSQL
Machine Learning
Cloud Services
Software Construction
SQL Databases
Unstructured Data
Flask
Large Language Models
Prompt Engineering
GIT
FastAPI
Build Management
Information Technology
GPT
Data Pipelines
Serverless Computing

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)., * 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

Apply for this position