Job Description
Join the Architects of Tomorrow.
Are you ready to shape the technology landscape of 2026? Apex Future Systems is seeking a visionary Senior Generative AI Engineer to lead our next-generation AI initiatives. In this pivotal role, you will not just build models; you will define the future of human-machine interaction.
We are building the infrastructure that will power the autonomous economy. If you have a deep passion for Large Language Models (LLMs), Reinforcement Learning from Human Feedback (RLHF), and scalable architecture, we want to talk to you.
Why Join Us?
- Next-Gen Tech: Work with the latest advancements in Agentic AI and Generative Transformers.
- Impact: Your code will influence millions of users globally.
- Equity: Competitive stock options and performance bonuses.
Responsibilities
- Model Architecture: Design, train, and fine-tune large-scale generative models (LLMs) optimized for specific enterprise use cases.
- Optimization: Implement techniques such as quantization, pruning, and distillation to ensure high-performance inference in real-time environments.
- Research: Stay at the forefront of AI research, experimenting with novel architectures like Mixture-of-Experts and Transformers to push the boundaries of capability.
- Deployment: Lead the deployment of AI models into production environments using robust MLOps pipelines and containerization.
- Collaboration: Partner with product managers and engineering teams to translate complex AI concepts into intuitive user experiences.
- Ethics & Safety: Ensure AI outputs are unbiased, safe, and aligned with regulatory standards.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- Experience: 5+ years of professional experience in machine learning engineering or applied research.
- Tools: Proficiency in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
- Knowledge: Deep understanding of neural network theory, attention mechanisms, and NLP.
- Cloud: Experience deploying models on AWS, GCP, or Azure (Kubernetes, SageMaker, etc.).
- Communication: Excellent ability to communicate complex technical concepts to non-technical stakeholders.