Artificial Intelligence Engineer
Nimbus Careers, a leading company in the Information Technology & Services sector, is seeking a Senior AI/ML Engineer to join their team remotely from Vietnam. This is a full-time, remote position focused on the design and deployment of cutting-edge AI systems. The engineer will take the lead in architecting core agent architecture, implementing state-of-the-art models such as graph neural networks and enterprise-grade LLMs, and deploying scalable solutions on AWS cloud infrastructure. The role offers a high-impact opportunity to influence core AI technologies in a growing and innovative company.
Candidates must have deep proficiency in Python and experience with deep learning frameworks like PyTorch or TensorFlow. A solid background in enterprise-grade LLM deployment and an understanding of prompt engineering, Transformers, FastAPI, and Vector Databases are essential. Familiarity with cloud-based machine learning tools, particularly AWS SageMaker, and a strong grasp of ML system design and performance tuning is necessary. Excellent English communication skills are also required for this role.
This position offers a chance to work with advanced AI technologies within an international, remote-first team. If you're eager to play a strategic part in enterprise AI innovation, visit this link to apply.
Job Description:
We are looking for a highly skilled Senior ML/AI Engineer to architect and guide the development of our next-generation AI systems. In this role, you will design the core agent architecture, select and implement state-of-the-art AI/ML models such as graph neural networks and enterprise-grade large language models (LLMs), and lead the deployment of these systems on AWS cloud infrastructure.
Required Skills & Qualifications:
- Strong experience with Python and deep learning frameworks such as PyTorch or TensorFlow.
- Proven experience in designing and deploying production enterprise-grade LLMs.
- Familiarity with prompt engineering, Transformers, FastAPI, and Vector Databases.
- Experience with AWS SageMaker and other relevant cloud-based ML services.
- Solid understanding of ML system design, architecture decisions, and real-time performance tuning.
- Excellent communication in English
Employment Type:
Full-time (FTE 1.0, ~40 hours/week)
