Job Description
We are seeking a visionary Senior AI Infrastructure Engineer to spearhead our 2026 Strategic Roadmap. At Nexus Horizon, we are not just building software; we are engineering the technological foundation for the next decade. Your expertise will be critical in architecting scalable, resilient, and high-performance systems that define the 2026 era of artificial intelligence.
In this role, you will bridge the gap between cutting-edge AI research and production-grade infrastructure. You will lead a team of engineers in deploying next-gen ML pipelines, optimizing for edge computing, and ensuring our platforms are ready for the massive scale expected by 2026. If you are passionate about pushing the boundaries of what is possible and want to leave a lasting legacy in the tech industry, this is your opportunity.
Why join Nexus Horizon?
- Work on groundbreaking projects that shape the future.
- Competitive compensation and equity packages.
- Flexible remote-first culture with premium benefits.
Responsibilities
- Design and implement scalable machine learning infrastructure optimized for the 2026 computing landscape.
- Lead architectural decisions for distributed systems, ensuring high availability and fault tolerance.
- Collaborate with data scientists to translate complex models into production-ready pipelines.
- Drive the adoption of modern DevOps practices, including CI/CD and containerization (Kubernetes/Docker).
- Conduct deep technical reviews and mentor junior engineers to foster a culture of excellence.
- Stay ahead of emerging technologies to integrate breakthrough capabilities into our stack.
- Optimize cloud costs and performance across AWS and Google Cloud environments.
Qualifications
- 7+ years of experience in software engineering, with a focus on AI/ML infrastructure.
- Expert proficiency in Python, Go, and modern machine learning frameworks (TensorFlow, PyTorch).
- Deep understanding of cloud platforms (AWS, GCP, or Azure) and serverless architectures.
- Strong background in distributed systems, microservices, and real-time data processing.
- Experience with MLOps tools and vector databases is highly preferred.
- Ability to thrive in a fast-paced, innovative environment and solve complex technical challenges.
- Bachelor’s degree in Computer Science, Engineering, or a related technical field.