Job Description
Are you ready to shape the future of artificial intelligence?
Nexus Horizon is pioneering the architectural landscape for the technology of 2026. We are seeking a visionary Next-Gen AI Architect to design, build, and deploy large-scale generative models that will redefine human-machine interaction. This is not just a job; it is an opportunity to define the stack for the next decade of AI innovation.
In this role, you will bridge the gap between theoretical research and scalable production engineering. You will work alongside world-class researchers to translate cutting-edge breakthroughs into robust, efficient, and secure systems.
Why Join Nexus Horizon?
- Work on the Frontier: You will be building the foundational models that will power applications in 2026 and beyond.
- Impact at Scale: Your code will influence billions of interactions across the globe.
- Elite Team: Collaborate with PhDs and industry veterans in a state-of-the-art facility.
We are looking for someone who is not just comfortable with current tools but is excited to pioneer the next generation of infrastructure.
Responsibilities
- Architectural Leadership: Design the core infrastructure for large language models (LLMs) and multimodal systems, ensuring scalability and fault tolerance.
- Model Optimization: Implement advanced quantization and pruning techniques to optimize model performance for edge and cloud deployment.
- Research Translation: Collaborate with research scientists to take theoretical models from the lab to production environments.
- System Design: Build distributed training pipelines that can handle petabyte-scale data processing in real-time.
- Security & Compliance: Implement rigorous security protocols to ensure data privacy and ethical AI usage.
- Technical Mentorship: Guide a team of junior engineers and data scientists, fostering a culture of continuous learning and innovation.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field (or equivalent practical experience).
- Core Tech: Expert proficiency in Python, C++, and Rust.
- Frameworks: Deep experience with PyTorch, TensorFlow, or JAX, and familiarity with model serving frameworks like vLLM or TGI.
- Experience: Minimum of 5 years of experience in software engineering, with a focus on AI/ML systems architecture.
- Big Data: Strong understanding of distributed systems, message queues (Kafka, RabbitMQ), and database technologies (PostgreSQL, Neo4j).
- Problem Solving: Proven track record of solving complex technical challenges in high-pressure environments.