AI Engineer

OX CONSULTANCY PTE. LTD.; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading AI consultancy firm in Singapore is seeking a skilled AI Developer to design and develop Agentic AI applications. The ideal candidate will focus on prompt engineering and integrate cloud platforms like Azure for deploying AI models. Candidates must have strong coding abilities in Python and experience with AI libraries. This role emphasizes building scalable solutions and conducting rigorous code reviews to ensure quality outputs.

Qualifications

• Proficient in crafting and optimizing prompts for AI applications.
• Familiarity with integrating and designing AI workflows using LangChain.
• Strong coding ability in Python, focusing on AI-related libraries.

Responsibilities

• Design and develop Agentic AI applications with a focus on prompt engineering.
• Build scalable, secure, and sustainable solutions using Python.
• Integrate cloud platforms to deploy and manage AI models effectively.

Skills

Prompt Engineering

LangChain Expertise

Python Proficiency

Cloud Experience

AI Lifecycle Management

Tools

TensorFlow

PyTorch

OpenAI API

AWS

Azure

Google Cloud

Job description

• Design and develop Agentic AI applications with a focus on prompt engineering, LangChain, and agentic AI frameworks.
• Build scalable, secure, and sustainable solutions using Python and modern programming techniques.
• Integrate cloud platforms (e.g., Azure) to deploy and manage AI models effectively.
• Conduct rigorous code reviews, testing, and debugging to ensure high-quality outputs.
• Enhance existing AI solutions while exploring new technologies to improve user experience and business outcomes.

Your Expertise

• Proficient in Prompt Engineering: Skilled in crafting and optimizing prompts for AI applications
• LangChain Expertise: Familiarity with integrating and designing AI workflows using LangChain and similar frameworks.
• Python Proficiency: Strong coding ability in Python, with a focus on AI-related libraries (e.g., TensorFlow, PyTorch, OpenAI API).
• Cloud Experience: Hands-on experience with cloud platforms (AWS, Azure, Google Cloud) for deploying and managing AI solutions.
• AI Lifecycle Management: Understanding of best practices for developing, deploying, and maintaining AI models across their lifecycle.
• Solid knowledge of SDLC processes, including secure coding practices, code reviews, and performance optimization.