Job Description
We are Nexus AI Systems, a premier research lab pioneering the next generation of artificial intelligence. We are looking for a visionary Senior Generative AI Engineer to join our 2026 Roadmap initiative. In this role, you will not just use existing tools; you will architect the future of reasoning, autonomous agents, and multimodal systems.
As we approach the next era of AI, we need a technical leader who understands the deep mechanics of Large Language Models (LLMs) and is ready to push the boundaries of what is possible. You will work directly with our research team to fine-tune models, optimize inference, and deploy scalable AI solutions that define the industry standard.
Responsibilities
- Model Architecture & Development: Design and implement cutting-edge architectures for Generative AI, focusing on efficiency, scalability, and hallucination reduction.
- Training & Fine-tuning: Lead the end-to-end training pipeline for custom foundation models using proprietary datasets.
- RAG & Vector Systems: Build and optimize Retrieval-Augmented Generation systems to enhance knowledge accuracy and retrieval latency.
- Agent Orchestration: Develop autonomous AI agents capable of complex decision-making and multi-step reasoning tasks.
- MLOps & Deployment: Implement robust CI/CD pipelines for model deployment, ensuring high availability and monitoring in production environments.
- Research Integration: Translate academic research into production-ready code, staying ahead of the 2026 AI landscape.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
- Experience: 5+ years of professional experience in machine learning engineering, specifically with deep learning frameworks.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, or JAX.
- Model Expertise: Deep understanding of Transformer architectures, BERT, GPT, and diffusion models.
- Tools: Experience with Hugging Face, LangChain, Weights & Biases, and cloud platforms (AWS/GCP/Azure).
- Soft Skills: Excellent communication skills with the ability to explain complex technical concepts to cross-functional teams.