Job Description
We are Nebula Dynamics, a premier research lab focused on defining the technological landscape of the 2026 horizon. We are looking for a visionary Senior AI Architect to lead the development of our next-generation autonomous systems. If you are passionate about the future of Artificial General Intelligence and want to build the infrastructure that powers tomorrow's world, this is your opportunity to make history.
In this role, you will design and deploy scalable machine learning models that bridge the gap between current AI capabilities and the AGI vision for 2026. You will work in a collaborative environment that values innovation, ethical AI, and high-performance engineering.
Responsibilities
- Architect Agentic Systems: Design and implement complex multi-agent architectures capable of autonomous decision-making and task execution.
- Model Optimization: Fine-tune and optimize Large Language Models (LLMs) for efficiency, accuracy, and low-latency inference.
- R&D Leadership: Conduct cutting-edge research in reinforcement learning and neural-symbolic integration to advance our roadmap.
- System Scalability: Build robust pipelines to handle petabyte-scale data processing and ensure high availability.
- Cross-Functional Collaboration: Partner with product teams to translate technical roadmaps into user-centric features.
- Ethical AI Compliance: Ensure all systems adhere to safety guidelines and ethical standards for AI deployment.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field.
- Experience: 5+ years of experience in AI/ML engineering with a focus on deep learning frameworks.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing systems.
- 2026 Vision: Deep understanding of current trends in LLMs, RAG, and Agent workflows.
- Problem Solving: Strong ability to troubleshoot complex architectural issues and optimize system performance.
- Communication: Excellent verbal and written communication skills for presenting technical concepts to non-technical stakeholders.