Job Description
We are seeking a visionary Senior AI Infrastructure Engineer to join our elite team at Nexus Future Labs. As we accelerate towards the technological horizon of 2026, we are building the backbone of the next generation of artificial intelligence.
In this pivotal role, you will bridge the gap between cutting-edge machine learning research and rock-solid, scalable systems engineering. You will be responsible for architecting the infrastructure that powers our autonomous agents and next-gen predictive models.
If you are passionate about solving complex problems at scale and want to define the standards of the future, we want to hear from you.
Responsibilities
- Architect and Maintain: Design, deploy, and manage high-availability infrastructure for large-scale AI workloads.
- Performance Optimization: Continuously optimize data pipelines and model serving infrastructure to ensure sub-millisecond latency.
- Future-Proofing: Implement systems that are resilient and adaptable to the emerging paradigms of 2026 and beyond.
- Collaboration: Partner with research scientists to translate theoretical models into production-ready, scalable services.
- Security & Compliance: Enforce rigorous security protocols and data governance standards across all cloud environments.
Qualifications
- Experience: 7+ years of professional software engineering experience with a focus on distributed systems.
- Programming: Deep proficiency in Python, Go, and Rust.
- Cloud Mastery: Extensive experience with Kubernetes, Docker, and major cloud providers (AWS/GCP/Azure).
- AI Stack: Familiarity with ML frameworks (TensorFlow, PyTorch) and model serving technologies (TorchServe, TensorFlow Serving).
- Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field.