Job Description
Are you ready to define the future of artificial intelligence? Nexus AI Labs is seeking a visionary Senior Generative AI Engineer to join our elite engineering team in San Francisco. As we pivot towards the 2026 technology stack, you will play a pivotal role in architecting the next generation of Large Language Models (LLMs) and intelligent agents.
We are not just building software; we are engineering the cognitive infrastructure of tomorrow. In this role, you will bridge the gap between cutting-edge research and production-grade scalability, ensuring our AI solutions are robust, ethical, and transformative.
Responsibilities
- Design and implement scalable architectures for large-scale language models and multimodal systems.
- Optimize model inference performance and reduce latency for real-time applications.
- Lead the development of Retrieval-Augmented Generation (RAG) pipelines to enhance accuracy.
- Conduct research on novel fine-tuning techniques and Reinforcement Learning from Human Feedback (RLHF).
- Collaborate with product and design teams to translate AI capabilities into user-centric experiences.
- Mentor junior engineers and establish best practices for AI engineering and MLOps.
- Ensure data privacy, security, and ethical AI compliance across all projects.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related technical field.
- 5+ years of experience in software engineering with a focus on AI/ML.
- Deep proficiency in Python, PyTorch, and TensorFlow.
- Extensive experience deploying models to high-traffic production environments (AWS, GCP, or Azure).
- Strong understanding of distributed computing and vector databases.
- Experience with containerization (Docker) and orchestration (Kubernetes).