Job Description
Are you ready to define the technological landscape of 2026? Nexus Future Labs is seeking a visionary Senior AI Engineer to lead our next-generation generative AI initiatives. We are building the infrastructure that will power the future of intelligent systems, and we need a technical leader who is passionate about pushing the boundaries of what is possible with Large Language Models (LLMs) and deep learning.
In this role, you will not just write code; you will architect the solutions that will define our company's trajectory for the coming decade. You will work in a high-performance environment, collaborating with world-class researchers and engineers to deploy scalable, efficient, and ethical AI systems.
Why Join Nexus Future Labs?
- Impactful Work: Directly influence the roadmap for AI adoption in 2026.
- Competitive Compensation: $160k - $220k base salary plus performance equity.
- Flexible Culture: Remote-first policy with a vibrant office in Austin.
- Top-Tier Tools: Access to the latest GPUs, cloud resources, and research papers.
Responsibilities
- Design and deploy scalable machine learning models focused on Generative AI and NLP.
- Lead the architecture of large-scale GPU clusters and training pipelines to optimize for 2026 performance standards.
- Research and implement novel techniques to improve model accuracy, latency, and resource efficiency.
- Establish best practices for MLOps, model governance, and ethical AI deployment.
- Collaborate closely with product and engineering teams to translate complex AI capabilities into intuitive user-facing features.
- Mentor junior engineers and conduct code reviews to maintain high technical standards.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related technical field.
- 5+ years of professional experience in Machine Learning, AI Engineering, or Deep Learning.
- Proficiency in Python, PyTorch, or TensorFlow with a strong understanding of deep learning architectures.
- Experience deploying models in production environments using cloud platforms (AWS, GCP, or Azure).
- Strong foundation in statistics, linear algebra, and calculus.
- Excellent problem-solving skills and the ability to thrive in a fast-paced, ambiguous startup environment.