Job Description
Join the 2026 Visionary Team at Nexus Future Systems.
We are on a mission to redefine the technological landscape of tomorrow. As a Senior Generative AI Architect, you will lead the charge in developing next-generation Large Language Models (LLMs) and multimodal AI systems. This is a rare opportunity to build the foundational infrastructure for the autonomous agents of 2026. If you are passionate about pushing the boundaries of what AI can achieve, we want to hear from you.
Why Join Us?
- Impactful Work: Directly influence the core AI capabilities used by millions.
- Future-Proofing: Work on cutting-edge technologies designed to scale well into 2026 and beyond.
- Competitive Package: Top-tier compensation and equity options.
Responsibilities
- Architect LLM Infrastructure: Design, implement, and optimize scalable Large Language Model pipelines using Python, PyTorch, and TensorFlow.
- Model Fine-Tuning & Evaluation: Lead the research and implementation of fine-tuning strategies (RLHF, PEFT) to enhance model accuracy and safety.
- RAG Systems: Develop and maintain Retrieval-Augmented Generation systems to ensure context-aware and factual AI responses.
- MLOps & Deployment: Oversee the end-to-end deployment of AI models using Kubernetes and cloud-native architectures (AWS/GCP).
- Ethical AI Governance: Establish and enforce guidelines to ensure AI outputs are unbiased, transparent, and compliant with evolving regulations.
- Technical Leadership: Mentor a team of junior data scientists and engineers, conducting code reviews and architectural reviews.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field (PhD preferred).
- Experience: 5+ years of professional experience in Machine Learning, Deep Learning, or Natural Language Processing.
- Technical Skills: Deep expertise in deep learning frameworks (PyTorch/TensorFlow), Transformers, and Hugging Face libraries.
- Programming: Strong proficiency in Python, with experience in C++ or Rust for high-performance computing.
- System Design: Proven track record of designing fault-tolerant, distributed machine learning systems.
- Communication: Excellent ability to translate complex technical concepts into actionable business strategies for stakeholders.