Job Description
Shape the Future of Intelligence at Nebula Dynamics
We are looking for a visionary Senior AI Engineer to lead the development of next-generation Generative AI solutions. In this role, you won't just be maintaining systems; you will be architecting the foundation for our products in 2026 and beyond. You will work at the intersection of deep learning, large language models (LLMs), and scalable cloud infrastructure.
If you are passionate about pushing the boundaries of what's possible with AI and want to join a team that values innovation and technical excellence, we want to hear from you.
Responsibilities
- Design, train, and deploy state-of-the-art Generative AI models and large language models using frameworks like PyTorch and TensorFlow.
- Optimize model inference latency and throughput for high-volume production environments.
- Implement and manage Retrieval-Augmented Generation (RAG) pipelines to enhance model accuracy and reduce hallucinations.
- Collaborate with cross-functional teams (Product, Data Science, Engineering) to translate business requirements into technical AI solutions.
- Conduct rigorous research into emerging AI architectures and integrate cutting-edge techniques into our product suite.
- Mentor junior engineers and conduct code reviews to maintain high standards of software engineering and data science practices.
Qualifications
- Education: Master’s degree or Ph.D. in Computer Science, Mathematics, or a related field (or equivalent practical experience).
- Experience: 5+ years of professional experience in Machine Learning, Deep Learning, or AI Engineering.
- Programming: Strong proficiency in Python and experience with GPU acceleration (CUDA, cuDNN).
- Frameworks: Deep familiarity with PyTorch, TensorFlow, or Hugging Face Transformers.
- Infrastructure: Experience deploying models on cloud platforms (AWS, GCP, or Azure) using Kubernetes and Docker.
- Problem Solving: Proven track record of solving complex mathematical and algorithmic problems in real-world scenarios.