Job Description
Are you a visionary engineer ready to architect the next generation of intelligent systems? Nexus Digital Horizons is seeking a world-class Senior AI Engineer to lead the development of cutting-edge Generative AI solutions. In this pivotal role, you will bridge the gap between complex research and scalable production systems, shaping the future of human-computer interaction.
Join a team of elite data scientists and engineers dedicated to pushing the boundaries of Large Language Models (LLMs) and neural architectures. If you are passionate about ethical AI and possess the technical prowess to build systems that learn and evolve, we want to meet you.
Why Join Us?
• Competitive equity and compensation package.
• Work on mission-critical AI infrastructure.
• Flexible remote-first culture with premium San Francisco amenities.
• Continuous learning and development budget.
Responsibilities
- Design, train, and fine-tune large-scale Generative AI models (LLMs) using PyTorch and TensorFlow.
- Lead the end-to-end machine learning lifecycle, from data ingestion and preprocessing to model deployment and monitoring.
- Optimize model inference performance and latency for real-time applications.
- Collaborate with product managers and designers to translate complex AI capabilities into intuitive user experiences.
- Stay at the forefront of AI research, evaluating and integrating new techniques such as RAG (Retrieval-Augmented Generation) and Agents.
- Ensure AI systems are robust, scalable, and aligned with safety and ethical guidelines.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field (PhD preferred).
- 5+ years of professional experience in Machine Learning, NLP, or Deep Learning engineering.
- Expert proficiency in Python and experience with major ML frameworks (PyTorch, TensorFlow, JAX).
- Proven track record of deploying production-grade ML models to cloud environments (AWS, GCP, or Azure).
- Strong understanding of distributed computing, MLOps pipelines, and model versioning.
- Experience with vector databases (Pinecone, Weaviate) and semantic search technologies.
- Excellent problem-solving skills and ability to thrive in a fast-paced, collaborative startup environment.