Job Description
Join the Future of Intelligence
We are Nebula Dynamics, a pioneering force in next-generation computing. We are seeking a visionary Generative AI Engineer to lead the development of autonomous agents and large-scale language models that will define the technological landscape of 2026 and beyond. You will work at the intersection of deep learning, cognitive architecture, and scalable software engineering.
Why Join Us?
• Work with cutting-edge LLMs and Transformer architectures.
• Shape the ethical and technical frameworks for AGI development.
• Competitive equity package and top-tier benefits.
Responsibilities
- Architect Next-Gen Models: Design and implement proprietary large language models optimized for complex reasoning tasks and multimodal outputs.
- Optimize Inference: Engineer highly efficient inference pipelines to reduce latency and computational costs in real-time AI applications.
- Autonomous Systems: Develop the core logic for autonomous agents capable of multi-step planning and self-correction.
- Data Pipeline Management: Build robust data ingestion and processing pipelines to train models on high-quality, synthetic datasets.
- Cross-Functional Collaboration: Partner with product managers and researchers to translate theoretical AI capabilities into tangible user features.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Mathematics, or a related field with a focus on Machine Learning.
- Core Stack: Deep proficiency in Python, PyTorch, and TensorFlow.
- Experience: 5+ years of experience in machine learning engineering, specifically with Generative AI or Reinforcement Learning.
- Technical Depth: Extensive knowledge of transformer architectures, attention mechanisms, and fine-tuning strategies.
- Problem Solving: Proven track record of solving complex engineering challenges in high-scale production environments.