AI Engineer (Generative AI & 3D Computing )

NEXBRIDGE RECRUITMENT PTE. LTD.; Singapore; Sur place; SGD 120 000 - 210 000; Plein temps

Résumé du poste

NEXBRIDGE Recruitment Pte. Ltd. seeks a talented AI/ML engineer to drive the design, development and deployment of scalable AI solutions across the product lifecycle in Singapore.

You'll work with product owners, engineering teams and partners to implement advanced AI systems, 3D geometry tasks, and Generative AI techniques using OpenAI and Claude, ensuring production readiness and security.

Qualifications

• Degree in Engineering, Computer Engineering, Computer Science, Mathematics, Statistics or related.
• Strong technical knowledge in AI/ML and production deployment best practices.
• Hands-on Python and/or C++ programming experience.
• Experience with data wrangling, visualization, ML and reporting libraries.
• Experience with deep learning frameworks (TensorFlow or PyTorch).
• Experience with Generative AI and prompt engineering (OpenAI/Claude).
• Experience building AI Agents and RAG solutions.
• Experience with vector/graph databases.
• Strong understanding of 3D geometry and coordinate systems.
• Experience with mesh manipulation and geometric transformations.
• Proficiency in 3D modelling/CAD tools (Blender, Revit) or libraries (OpenGL, CGAL, Three.js).

Responsabilités

• Collaborate with cross-functional teams across the product lifecycle.
• Evaluate AI technologies for production readiness and feasibility.
• Design, develop and deploy AI/software solutions with microservices architecture.
• Participate in Agile and secure software development processes.
• Develop and validate AI algorithms with focus on transparency, scalability and security.
• Develop and deploy AI Agents, RAG solutions, and VA-based applications.
• Apply Generative AI techniques using platforms like OpenAI and Claude.
• Utilize data, ML, and reporting libraries to support AI deployment.
• Work with 3D geometry, vector math, and coordinate systems.
• Work with 3D modelling/CAD tools and libraries (Blender, Revit, OpenGL).
• Collaborate with teams to deliver scalable, production-ready AI solutions.

Connaissances

Python

C++

Deep learning

Generative AI

Prompt engineering

AI Agents

RAG

Vector databases

Graph databases

3D geometry

Mesh manipulation

OpenGL

Blender

Revit

Three.js

Formation

Bachelor's degree in Engineering/CS/Math/Stats

Outils

TensorFlow

PyTorch

OpenAI API

Claude

Description du poste

Job Responsibilities

• Collaborate with product owners, engineering teams and industry partners throughout the product development lifecycle, from concept and prototyping to testing, deployment, operationalisation and product end-of-life.
• Evaluate the maturity, viability and suitability of emerging AI technologies, research and industry trends for production use.
• Design, develop and deploy AI and software solutions using microservices-based architecture.
• Participate in Agile and secure software development processes, including requirements gathering, technical documentation, coding and testing.
• Develop, implement and validate AI algorithms while considering factors such as transparency, fairness, scalability, security, integration complexity and operational costs.
• Develop and deploy AI Agents, Retrieval-Augmented Generation (RAG) solutions and applications using vector or graph databases.
• Apply Generative AI and prompt engineering techniques using platforms such as OpenAI and Claude.
• Work with data manipulation, visualisation, machine learning and reporting libraries to support AI development and deployment.
• Develop and optimise solutions involving 3D geometry, vector mathematics and coordinate systems.
• Apply algorithms for mesh manipulation, Boolean operations and geometric transformations.
• Work with 3D modelling/CAD software and relevant programming libraries such as Blender, Revit, OpenGL, CGAL or Three.js.
• Work closely with cross-functional teams to deliver scalable and production-ready AI solutions.

Job Requirements

• Degree in Engineering, Computer Engineering, Computer Science, Mathematics, Statistics or a related discipline.
• Strong technical knowledge and hands-on experience in Artificial Intelligence and Machine Learning.
• Good understanding of current AI research, technologies and best practices for production deployment.
• Strong programming skills in Python and/or C++.
• Experience with data manipulation, visualisation, machine learning and reporting libraries.
• Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch.
• Extensive experience in Generative AI and prompt engineering, including OpenAI and Claude-based solutions.
• Hands-on experience developing and deploying AI Agents and RAG solutions.
• Experience working with vector databases and/or graph databases.
• Strong understanding of 3D geometry, vector mathematics and coordinate systems.
• Experience with mesh manipulation, Boolean operations and geometric transformation algorithms.
• Proficiency in 3D modelling/CAD software such as Blender or Revit, and/or programming libraries such as OpenGL, CGAL or Three.js.

We regret that only shortlisted candidates will be notified.