Job Description
Architect the Intelligence of Tomorrow.
Nexus Future Systems is leading the charge into the era of autonomous AI. We are looking for a visionary Senior Generative AI Engineer to define the technical roadmap for our flagship 2026 platform. In this high-impact role, you will build the next generation of Large Language Models (LLMs) and multimodal agents that will redefine human-machine interaction.
As part of our elite R&D team, you will bridge the gap between cutting-edge research and scalable production engineering. You will work in a fast-paced, remote-first environment with top-tier talent from Silicon Valley and NYC.
Responsibilities
- Model Development: Spearhead the training, fine-tuning, and optimization of proprietary foundation models, including LLMs and diffusion models.
- RAG & Architecture: Design and implement robust Retrieval-Augmented Generation (RAG) pipelines to enhance model accuracy and context retention.
- Production Deployment: Deploy and maintain high-availability AI models using MLOps practices, ensuring low-latency inference and cost-efficiency.
- Ethical AI: Establish and enforce rigorous safety guidelines, bias mitigation strategies, and alignment protocols for AI outputs.
- Collaboration: Partner with cross-functional teams (Product, Data Science, Legal) to translate complex AI capabilities into user-centric solutions.
Qualifications
- Education: MS or PhD in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 5+ years of professional experience in Deep Learning, NLP, or Generative AI.
- Programming: Expert proficiency in Python and frameworks such as PyTorch or TensorFlow.
- Knowledge: Deep understanding of transformer architectures, attention mechanisms, and state-of-the-art LLM techniques.
- Tools: Proven track record with MLOps tools (Docker, Kubernetes, MLflow) and cloud platforms (AWS/GCP/Azure).