Job Description
The Future of AI is Here. Nebula Dynamics is pioneering the technology stack for 2026. We are not just building AI; we are architecting the future of intelligence. We are seeking a visionary Future-Ready AI Architect to lead our R&D efforts in Generative AI, Large Language Models (LLMs), and next-gen predictive analytics.
If you are passionate about solving complex problems at the intersection of data science and human experience, and you want to define the standards for the industry in 2026, this is your opportunity to make an impact.
Why Join Us?
- Shape the Future: Work on cutting-edge projects that will define the technological landscape of the next decade.
- Unlimited PTO & Remote First: Enjoy the flexibility to work when and where you thrive.
- Top-Tier Compensation: Competitive salary, equity, and comprehensive benefits.
- Continuous Learning: Access to the latest hardware and research libraries.
Responsibilities
- Architect Next-Gen Systems: Design scalable, resilient AI infrastructure capable of handling high-volume inference loads for 2026 standards.
- Lead R&D Initiatives: Spearhead research into emerging AI paradigms, including autonomous agents and multimodal learning.
- Model Optimization: Reduce latency and cost while maximizing the accuracy of Generative AI models.
- Technical Mentorship: Guide a team of talented engineers and data scientists, fostering a culture of innovation and excellence.
- Strategic Planning: Collaborate with C-suite executives to align AI capabilities with long-term business roadmaps.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Mathematics, or a related field.
- Experience: 5+ years of experience in machine learning engineering, with at least 2 years leading architectural design.
- Core Tech: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, AWS/Azure/GCP).
- AI Specialization: Proven track record with LLMs, fine-tuning, and prompt engineering.
- Problem Solving: Exceptional ability to translate business requirements into robust technical solutions.