Job Description
We are looking for a visionary AI Systems Architect to lead the development of our next-generation autonomous agents. At Apex Future Tech, we are building the infrastructure that will power the digital landscape of 2026 and beyond. You will be at the forefront of Generative AI, Large Language Models (LLMs), and scalable MLOps platforms.
In this role, you will bridge the gap between theoretical AI research and production-grade engineering, ensuring our systems are not only intelligent but also secure, efficient, and scalable.
Responsibilities
- Design and architect scalable machine learning pipelines and distributed computing systems.
- Lead the deployment of state-of-the-art Large Language Models (LLMs) and multi-modal AI agents.
- Optimize model inference latency and resource utilization on cloud infrastructure.
- Collaborate with data scientists to translate research prototypes into robust production APIs.
- Implement best practices for MLOps, including CI/CD, automated testing, and model monitoring.
- Ensure data privacy and ethical AI standards are integrated into system architecture.
Qualifications
- Master’s degree or PhD in Computer Science, Machine Learning, or a related technical field.
- 7+ years of professional experience in software engineering and machine learning systems.
- Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Docker).
- Proven experience architecting systems using AWS, GCP, or Azure.
- Strong understanding of NLP, vector databases, and RAG (Retrieval-Augmented Generation) architectures.
- Experience with cloud-native technologies and container orchestration.