Job Description
We are building the intelligence layer for the next decade. Nexus AI Solutions is seeking a visionary Senior AI/ML Engineer to join our elite team in San Francisco. As we push the boundaries of Generative AI and Large Language Models (LLMs), we need a technical architect who isn't just using the tools of today, but helping define the landscape of 2026.
In this pivotal role, you will design and deploy scalable machine learning systems that power our core products. You will work at the intersection of research and production, fine-tuning models to achieve unprecedented accuracy and efficiency. If you are passionate about ethical AI, large-scale inference, and building systems that truly understand context, we want to hear from you.
Why join us?
- Work with state-of-the-art LLMs and Transformer architectures.
- Competitive equity package and top-tier benefits.
- Flexible remote-first culture with a hub in the heart of SF.
Responsibilities
- Design, train, and fine-tune large-scale Transformer models and LLMs for specific business domains.
- Optimize model inference pipelines to reduce latency and maximize throughput in production environments.
- Collaborate with data scientists and engineers to implement MLOps best practices and CI/CD pipelines.
- Research and prototype novel architectures to stay ahead of industry trends in 2026.
- Ensure model robustness, fairness, and explainability in deployed applications.
- Conduct code reviews and mentor junior engineers to foster a culture of technical excellence.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related field.
- 5+ years of professional experience in Machine Learning, Deep Learning, or NLP.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Proven experience working with LLMs (GPT, BERT, Llama, etc.) and RAG architectures.
- Strong understanding of distributed systems and cloud infrastructure (AWS/GCP/Azure).
- Experience with model quantization, optimization, and deployment on edge devices.