Job Description
Join the Future of Intelligence.
Nexus Horizon is pioneering the next generation of autonomous systems. We are looking for a visionary Senior Generative AI Architect to lead the design and deployment of Large Language Models (LLMs) that will define the technological landscape of 2026 and beyond. If you are passionate about pushing the boundaries of what AI can achieve in complex, real-world environments, we want to hear from you.
Why Join Us?
- Work on cutting-edge Agentic AI workflows.
- Competitive equity and salary packages.
- Flexible remote-first culture with HQ in the heart of SF.
Role Overview:
You will be the technical lead responsible for the full lifecycle of our Generative AI products, from initial model selection and fine-tuning to productionizing inference pipelines. You will bridge the gap between theoretical AI research and practical, scalable engineering solutions.
Responsibilities
- Architect and implement robust, scalable Retrieval-Augmented Generation (RAG) systems to minimize hallucinations.
- Lead the fine-tuning and optimization of open-source and proprietary Large Language Models (Llama 3, Mistral, etc.).
- Design efficient inference engines to reduce latency and operational costs for high-traffic applications.
- Collaborate with cross-functional teams of data scientists, product managers, and security experts to ensure AI safety and compliance.
- Stay ahead of the curve on emerging AI research, evaluating new architectures (e.g., MoE, State-Space Models) for future integration.
- Mentor junior engineers and establish best practices for AI development within the organization.
Qualifications
- PhD or Master’s degree in Computer Science, Machine Learning, or a related field (or equivalent industry experience).
- Deep expertise in Python, PyTorch, and TensorFlow.
- Proven experience deploying and optimizing LLMs in production environments.
- Strong understanding of prompt engineering, fine-tuning methodologies (LoRA, QLoRA), and vector databases (Pinecone, Milvus, Weaviate).
- Familiarity with AI safety, alignment techniques, and responsible AI governance.
- Excellent communication skills and the ability to translate complex technical concepts for diverse stakeholders.