Senior GenAI Application Engineer (Contract) for Enterprise AI

RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS); Santo Niño 1st; On-site; PHP 8,824,000 - 11,765,000; Part time

Job summary

RiDiK is hiring a Senior GenAI Application Engineer to design and deploy sophisticated generative AI solutions for enterprise needs. This contract role is based in Singapore River Central Region, offering high-impact AI projects and collaboration across teams.

You will lead end-to-end development, optimize models, integrate LLMs with enterprise apps, and mentor junior engineers while working with data scientists, product managers, and stakeholders.

Qualifications

• 7+ years of software engineering, with 3+ years in GenAI/ML apps.
• Proficiency in Python/Java/C++/Go for AI integration.
• Experience with frameworks and LLMs in production.

Responsibilities

• Design and develop GenAI apps using state-of-the-art frameworks.
• Lead full SDLC for AI-powered solutions from prototyping to production.
• Architect systems integrating LLMs with enterprise apps.
• Collaborate with data scientists, PMs and stakeholders.
• Mentor junior engineers and set coding standards.
• Optimize model performance, latency and cost in production.
• Troubleshoot AI deployment and integration issues.
• Stay updated on new AI tech and best practices.
• Document architecture and implementation guidelines.

Skills

Python

Java

C++

Go

PyTorch

TensorFlow

LangChain

OpenAI APIs

LLMs

Docker

Kubernetes

AWS

API development

Agile

Education

Bachelor's degree in Computer Science or related field

Tools

PyTorch

TensorFlow

LangChain

OpenAI APIs

Job description

RiDiK is hiring a Senior GenAI Application Engineer to design and deploy sophisticated generative AI solutions for enterprise needs. This contract role is based in Singapore River Central Region, offering high-impact AI projects and collaboration across teams.

You will lead end-to-end development, optimize models, integrate LLMs with enterprise apps, and mentor junior engineers while working with data scientists, product managers, and stakeholders.