Job Description
We are building the infrastructure for the 2026 era of Artificial General Intelligence (AGI). Nexus Future Labs is seeking a visionary Senior Generative AI Engineer to lead the development of next-generation Large Language Models (LLMs). You will be at the forefront of research and production, defining the roadmap that bridges current transformer architectures with the capabilities required for 2026.
Why Join Us?
- Work on cutting-edge models that will define the future of human-computer interaction.
- Competitive compensation package with equity for long-term impact.
- Flexible remote-first culture with a hub in San Francisco.
If you are passionate about pushing the boundaries of what's possible in Generative AI, we want to hear from you.
Responsibilities
- Lead the end-to-end training and fine-tuning of state-of-the-art Generative AI models (LLMs) for 2026 deployment targets.
- Architect scalable infrastructure for distributed training and high-performance inference pipelines.
- Design and implement Retrieval-Augmented Generation (RAG) systems to enhance model accuracy and reduce hallucinations.
- Optimize model parameters for latency, throughput, and memory efficiency on edge devices.
- Collaborate with product and research teams to translate business requirements into technical AI solutions.
- Mentor junior engineers and researchers, fostering a culture of innovation and continuous learning.
Qualifications
- PhD or Master’s degree in Computer Science, Machine Learning, Mathematics, or a related quantitative field.
- 5+ years of professional experience in deep learning, NLP, or Generative AI.
- Strong proficiency in Python, PyTorch, and TensorFlow.
- Deep understanding of Transformer architectures, attention mechanisms, and tokenization strategies.
- Experience with model serving frameworks (e.g., Kubernetes, TensorFlow Serving, TorchServe).
- Track record of publishing research or shipping high-impact AI products.