AI Engineer (Generative AI & 3D Computing )
Summary
This Singapore-based AI Engineer role builds and deploys production generative AI systems — AI agents, RAG pipelines, and prompt-engineered solutions on OpenAI/Claude with vector and graph databases — while also developing 3D computing features (mesh manipulation, geometry, CAD) using tools like Blender, Revit, OpenGL, CGAL, and Three.js, primarily in Python/C++.
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.
Interested candidates are invited to apply via the “Apply Now” button.
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Nexbridge Recruitment Pte Ltd
EA License No: 26C3616
EA Personnel: Ching Ning Xin
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