Job Description
We are building the foundational models for the year 2026 and beyond. Nexus Horizon Systems is seeking a visionary Senior Generative AI Engineer to lead our research into Agentic AI and Multimodal Large Language Models. You will be instrumental in developing scalable AI architectures that redefine human-computer interaction.
In this role, you will bridge the gap between theoretical research and production-grade deployment, ensuring our models are not only cutting-edge but also safe, efficient, and aligned with our ethical standards. Join us to shape the future of technology.
Responsibilities
- Design and implement state-of-the-art Generative AI models and pipelines, focusing on LLMs and diffusion models.
- Optimize model inference latency and throughput for real-time applications and large-scale deployments.
- Develop and fine-tune proprietary models on large, unstructured datasets to enhance domain-specific performance.
- Architect robust MLOps pipelines using Kubernetes, Docker, and CI/CD practices to ensure continuous model delivery.
- Collaborate with product teams to translate complex AI capabilities into user-friendly features.
- Ensure model safety, fairness, and alignment through rigorous testing and adversarial evaluation.
- Stay ahead of the curve by researching emerging trends in AI, such as GraphRAG and Autonomous Agents.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related technical field.
- 5+ years of professional experience in software engineering with a strong focus on AI/ML.
- Deep proficiency in Python, PyTorch, or TensorFlow, including experience with Hugging Face Transformers.
- Extensive knowledge of deep learning architectures, specifically Transformers and GNNs.
- Experience with vector databases (e.g., Pinecone, Milvus, Weaviate) and RAG implementations.
- Strong understanding of distributed systems and cloud infrastructure (AWS, GCP, or Azure).
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.