Job Description
<p>Join <strong>Nexus Horizon Technologies</strong>, a pioneer in next-generation artificial intelligence, as we build the systems that will define the <strong>Year 2026</strong> and beyond. We are looking for a visionary Senior AI Architect to lead the development of autonomous, multimodal, and ethical AI systems.</p><p>In this role, you won't just implement existing models; you will architect the infrastructures for the next generation of Generative AI. You will bridge the gap between theoretical research and scalable production, ensuring our solutions are robust, efficient, and aligned with future regulatory standards.</p><p><strong>Why Join Us?</strong></p><ul><li>Work at the forefront of <strong>Agentic AI</strong> and autonomous agents.</li><li>Competitive compensation package with equity options.</li><li>Flexible remote-first culture with access to top-tier tech stacks.</li><li>Opportunity to influence the ethical guidelines of AI development.</li></ul>
Responsibilities
- <ul><li><strong>Architect System Design:</strong> Design and implement scalable AI architectures for large-scale multimodal models and autonomous agent workflows.</li><li><strong>Model Optimization:</strong> Oversee the fine-tuning and optimization of LLMs (Large Language Models) to ensure low latency and high accuracy in production environments.</li><li><strong>RAG Implementation:</strong> Lead the implementation of Retrieval-Augmented Generation pipelines to enhance model knowledge bases securely.</li><li><strong>Ethical AI Compliance:</strong> Develop and enforce guidelines to ensure AI outputs are fair, unbiased, and compliant with future 2026 regulations.</li><li><strong>Collaboration:</strong> Partner with data scientists and product managers to translate complex technical requirements into practical AI solutions.</li><li><strong>Performance Tuning:</strong> Monitor system performance and implement strategies to reduce inference costs and improve throughput.</li></ul>
Qualifications
- <ul><li><strong>Education:</strong> Master’s or Ph.D. in Computer Science, Machine Learning, or a related technical field.</li><li><strong>Experience:</strong> 8+ years of experience in software engineering, with at least 4 years focused specifically on AI/ML systems architecture.</li><li><strong>Technical Stack:</strong> Proficiency in Python, PyTorch, TensorFlow, and experience with vector databases (e.g., Pinecone, Milvus).</li><li><strong>AI Expertise:</strong> Deep understanding of Transformer architectures, LLM fine-tuning techniques, and RAG methodologies.</li><li><strong>Problem Solving:</strong> Proven track record of solving complex performance bottlenecks in distributed systems.</li><li><strong>Communication:</strong> Excellent ability to communicate complex technical concepts to non-technical stakeholders.</li></ul>