Agentic AI engineer

DA SOFTWARE PTE. LTD.; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A leading AI development company in Singapore seeks an experienced AI Developer to design and develop Agentic AI applications. The role involves working with Python, integrating cloud platforms, and ensuring high-quality outputs through code reviews and testing. Candidates should have strong skills in prompt engineering and AI lifecycle management, with at least a Bachelor's degree in Computer Science or a related field. Join us to create innovative AI solutions that enhance user experience and business outcomes.

Qualifications

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

Responsibilities

• Design and develop Agentic AI applications focusing on prompt engineering.
• Build scalable solutions using Python and modern programming techniques.
• Integrate cloud platforms to deploy and manage AI models effectively.

Skills

Prompt Engineering

LangChain expertise

Python proficiency

Cloud experience

AI lifecycle management

SDLC Processes

Education

Bachelor’s/Master’s degree in Computer Science, AI or related field

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.

Qualifications

• 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.
• Bachelor’s/Master’s degree in Computer Science, AI, or related field, or equivalent experience.