Job Description
Shape the Future of Intelligence
Nebula Dynamics is at the forefront of the AI revolution, and we are looking for a visionary Senior Generative AI Engineer to join our elite R&D team. As we prepare for the next generation of AI applications in 2026, we need a leader who is not only skilled in current technologies but is also obsessed with the future of Large Language Models (LLMs) and autonomous agents.
In this role, you will build the systems that power our next-generation products, working on cutting-edge research that will define the landscape of human-computer interaction for years to come. If you are passionate about pushing the boundaries of what is possible with generative models, we want to hear from you.
Why Join Us?
- Work with state-of-the-art hardware and cloud infrastructure.
- Competitive equity package and flexible remote-first culture.
- Opportunity to publish research and influence industry standards.
Responsibilities
- Model Architecture & Development: Design, train, and fine-tune proprietary Large Language Models (LLMs) and multimodal systems using PyTorch and TensorFlow.
- System Optimization: Implement efficient inference pipelines and optimize model latency and throughput for real-time applications.
- Research Implementation: Translate academic research papers into production-ready code and experiment with emerging paradigms such as Agentic workflows.
- MLOps & Deployment: Build and maintain robust CI/CD pipelines for model deployment using Kubernetes and Docker, ensuring high availability and security.
- Team Leadership: Mentor junior engineers, conduct code reviews, and foster a culture of innovation and continuous learning within the engineering team.
- Collaboration: Partner with product managers and data scientists to define technical roadmaps and deliver high-impact features.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Machine Learning, or a related field (or equivalent practical experience).
- Technical Skills: 5+ years of professional experience in software engineering and machine learning, with a deep focus on NLP and Generative AI.
- Programming: Proficiency in Python, with strong experience in C++ for performance-critical components.
- Frameworks: Extensive experience with Hugging Face Transformers, LangChain, or similar orchestration frameworks.
- Experience: Proven track record of deploying large-scale machine learning models into production environments.
- Soft Skills: Excellent communication skills and the ability to thrive in a fast-paced, collaborative startup environment.