Job Description
Shape the Future of Intelligence
Welcome to Apex Future Systems. We are not just preparing for the year 2026; we are architecting the reality of it. As a Lead AI Research Engineer, you will be at the forefront of the generative AI revolution, pushing the boundaries of what is possible with Large Language Models (LLMs) and autonomous agents. If you are a visionary engineer who thrives on solving complex problems and building systems that think, we want to hear from you.
Why Join Us?
- Work on cutting-edge generative models that will define the next decade.
- Competitive compensation package with equity options.
- Flexible remote-first culture with state-of-the-art equipment.
- Opportunity to mentor the next generation of AI talent.
Responsibilities
- Design and implement novel deep learning architectures for generative tasks.
- Lead research initiatives focused on optimizing model inference speed and accuracy.
- Collaborate with cross-functional teams to integrate AI models into scalable production environments.
- Conduct rigorous experimentation and evaluation of emerging AI methodologies.
- Write high-quality, maintainable code and contribute to open-source AI communities.
- Present technical findings to stakeholders and technical leadership.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field.
- 5+ years of experience in machine learning, deep learning, or natural language processing.
- Proficiency in Python, PyTorch, or TensorFlow.
- Strong understanding of transformer architectures and LLM fine-tuning.
- Experience with MLOps tools (Docker, Kubernetes, AWS SageMaker).
- Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.