Job Description
Are you ready to define the technological landscape of 2026?
Nebula Dynamics is on a mission to pioneer the next generation of autonomous AI systems. We are seeking a visionary Senior Generative AI Architect to lead our research into Large Language Models (LLMs) and Agentic workflows. If you are passionate about the ethical application of AI and want to build systems that think, adapt, and evolve, we want to meet you.
In this role, you will not just maintain existing systems; you will architect the infrastructure that will power our solutions for years to come. You will work in a fast-paced, elite engineering environment where innovation is the currency.
Why Join Us?
- Future-Proof Your Career: Work on cutting-edge technologies that define the 2026 era of tech.
- Elite Team: Collaborate with PhD-level researchers and industry veterans.
- Impact: Your work will directly influence how AI interacts with the global economy.
Responsibilities
- Architect End-to-End AI Pipelines: Design, build, and optimize large-scale generative AI models and fine-tuning pipelines for production environments.
- Model Optimization: Implement techniques such as quantization, pruning, and distillation to enhance model inference speed and reduce latency.
- Research & Development: Stay ahead of the curve by researching emerging trends in multimodal AI, reinforcement learning, and neural architecture search.
- Ethical AI Governance: Develop frameworks and guidelines to ensure AI outputs are unbiased, transparent, and safe.
- System Integration: Integrate AI capabilities into complex software ecosystems, ensuring seamless interoperability with existing cloud infrastructure.
- Technical Leadership: Mentor junior engineers and data scientists, conducting code reviews and architectural planning sessions.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field, with a focus on Machine Learning or Artificial Intelligence.
- Experience: 5+ years of professional experience in software engineering or data science, with at least 2 years specifically focused on Generative AI or Deep Learning.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Strong understanding of transformer architectures and attention mechanisms.
- Infrastructure: Experience deploying models on cloud platforms (AWS, GCP, or Azure) using containerization tools like Docker and Kubernetes.
- Problem Solving: Demonstrated ability to troubleshoot complex algorithmic issues and optimize performance bottlenecks.
- Communication: Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.