Architect the Future of Intelligence

Are you ready to lead the next revolution in Artificial Intelligence? Nexus Horizon Labs is seeking a visionary Senior Generative AI Engineer to design, deploy, and optimize cutting-edge Large Language Models (LLMs) and Generative AI systems. As a pivotal player in our R&D division, you will bridge the gap between theoretical AI research and scalable production solutions, empowering our products to think, learn, and create autonomously.

We are looking for a builder who thrives in a fast-paced, high-impact environment. If you are passionate about the potential of AGI and want to define the standards for 2026 and beyond, we want to hear from you.

Why Join Nexus Horizon Labs?

• Industry Leadership: Work on state-of-the-art projects that define the future of tech.
• Competitive Compensation: Salary range $160k - $240k plus equity and performance bonuses.
• Remote-First Culture: Collaborate with top-tier talent from around the globe.

Key Responsibilities

• Design, train, and fine-tune proprietary Large Language Models (LLMs) and foundation models tailored for enterprise applications.
• Architect robust Retrieval-Augmented Generation (RAG) pipelines to enhance model accuracy and reduce hallucinations.
• Optimize inference performance and model serving infrastructure using technologies like Kubernetes, TensorFlow, and PyTorch.
• Collaborate with cross-functional teams of data scientists, product managers, and engineers to integrate AI capabilities into user-facing products.
• Establish best practices for MLOps, including model monitoring, version control, and automated retraining workflows.
• Stay ahead of the curve by researching emerging trends in Generative AI, Diffusion Models, and Multi-Agent Systems.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field; PhD preferred.
• 5+ years of professional experience in Machine Learning, Deep Learning, or AI Engineering.
• Extensive experience programming in Python and familiarity with C++ for performance optimization.
• Proven track record of deploying production-ready AI models using frameworks such as PyTorch, TensorFlow, or JAX.
• Deep understanding of Natural Language Processing (NLP) concepts, transformer architectures, and attention mechanisms.
• Experience with vector databases (e.g., Pinecone, Milvus, Weaviate) and cloud platforms (AWS, GCP, or Azure).
• Strong problem-solving skills and the ability to translate complex business problems into elegant technical solutions.

Apply Today: Send your resume to careers@nexushorizonlabs.com.