Job Description
Are you ready to shape the technological landscape of 2026 and beyond? Nexus Future Systems is pioneering the next generation of Artificial Intelligence, and we are seeking a visionary Senior AI & LLM Engineer to join our elite engineering team in San Francisco.
In this pivotal role, you will be at the forefront of developing scalable Large Language Models and autonomous AI agents. We are not just building software; we are architecting the intelligence that will define the future of enterprise. If you possess a deep understanding of deep learning architectures and a passion for solving complex problems, we want to hear from you.
Why Join Us?
- Future-Ready Tech Stack: Work with the latest frameworks and cutting-edge research.
- Impactful Work: Deploy models that directly influence millions of users.
- Competitive Compensation: Comprehensive benefits and equity packages.
Responsibilities
- Design, train, and deploy state-of-the-art Large Language Models (LLMs) and generative AI systems.
- Optimize model inference latency and accuracy for high-volume production environments.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to integrate AI solutions.
- Research and implement novel algorithms to advance the field of Natural Language Processing (NLP).
- Mentor junior engineers and conduct code reviews to maintain high technical standards.
- Ensure data privacy, security, and ethical AI practices in all model deployments.
Qualifications
- Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience in software engineering with a focus on Machine Learning or AI.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Deep understanding of neural network architectures, transformers, and deep learning principles.
- Experience with MLOps tools (e.g., MLflow, Kubeflow) and cloud platforms (AWS, GCP, or Azure).
- Excellent problem-solving skills and the ability to communicate complex technical concepts clearly.