Job Description
We are pioneering the technological landscape of 2026. Nexus Future Labs is seeking a visionary 2026-Ready AI Infrastructure Lead to architect the next generation of scalable, intelligent systems. In this role, you will bridge the gap between theoretical AI advancements and production-grade infrastructure, ensuring our platforms are ready for the demands of the near future.
Join a team of elite engineers pushing the boundaries of what is possible, where your work directly impacts the digital ecosystem of tomorrow.
Responsibilities
- Design and implement resilient, high-availability infrastructure specifically engineered for the computational demands of 2026 AI models.
- Lead the integration of Generative AI and Large Language Models (LLMs) into core enterprise workflows with a focus on latency and efficiency.
- Architect cloud-native solutions that are future-proof, ensuring seamless migration paths to next-gen hardware architectures.
- Mentor a team of senior engineers, fostering a culture of innovation and technical excellence in preparing for the 2026 tech landscape.
- Optimize existing pipelines for edge computing and decentralized networks, preparing for the shift in 2026 computing paradigms.
Qualifications
- Minimum of 7 years of experience in Systems Engineering, DevOps, or Backend Architecture, with a focus on AI/ML workloads.
- Deep expertise in Python, Go, or Rust, and experience with orchestration tools like Kubernetes and Docker.
- Strong understanding of distributed systems, microservices, and data streaming technologies relevant to the 2026 stack.
- Experience with MLOps platforms (e.g., Kubeflow, MLflow) and model serving frameworks (TensorFlow Serving, TorchServe).
- Excellent problem-solving skills and the ability to translate complex business requirements into robust technical roadmaps.