Job Description
We are Apex Neural Systems, a cutting-edge research lab and product company pioneering the AI landscape for 2026 and beyond. We are looking for a visionary Senior AI Architect to lead the design and deployment of next-generation Large Language Models (LLMs) and multimodal AI systems.
In this role, you will bridge the gap between theoretical research and production-grade engineering. You will be instrumental in building the intelligent core of our applications that will define the future of human-machine interaction. If you are passionate about pushing the boundaries of what is possible with AI and want to work in a high-impact environment, we want to hear from you.
Why Join Us?
- Future-Proof Role: Work on technologies that are shaping the roadmap for 2026 and the decade to follow.
- Top-Tier Compensation: Competitive salary, equity, and comprehensive benefits.
- Innovation First: We provide the resources and autonomy to experiment with the latest architectures (Transformers, Diffusion, Reinforcement Learning).
Responsibilities
- Architect and implement scalable LLM training and inference pipelines using PyTorch and TensorFlow.
- Research and prototype novel Generative AI architectures to improve model efficiency and accuracy.
- Optimize model performance for edge deployment, reducing latency and computational costs.
- Collaborate with product and design teams to translate complex AI capabilities into intuitive user experiences.
- Establish best practices for MLOps, data governance, and ethical AI usage.
- Mentor junior engineers and data scientists on advanced deep learning techniques.
Qualifications
- PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field (or equivalent professional experience).
- Strong proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, JAX).
- Extensive experience with transformer models, RAG (Retrieval-Augmented Generation), and fine-tuning LLMs.
- Deep understanding of mathematical concepts including linear algebra, calculus, and probability.
- Proven track record of deploying AI models to production environments.
- Excellent communication skills and ability to explain complex technical concepts to non-technical stakeholders.