Job Description
<p>Join <strong>Aether Dynamics</strong>, the vanguard of next-generation intelligence, as we engineer the technological landscape of 2026. We are seeking a visionary <strong>Senior Generative AI Engineer</strong> to architect scalable Large Language Models (LLMs) and multimodal systems that redefine human-machine interaction. If you thrive at the intersection of mathematics, creativity, and code, and want to build systems that matter, this is your opportunity to lead the future.</p>
<p>As a key member of our R&D division, you will be responsible for pushing the boundaries of what is possible with AI, ensuring our solutions are not only robust but ethically sound and commercially viable. You will work in a high-performance environment that values autonomy, innovation, and rapid iteration.</p>
Responsibilities
- <ul>
- <li><strong>Model Architecture Design:</strong> Design, train, and fine-tune state-of-the-art Generative AI models (e.g., GPT-style architectures, Diffusion models) using PyTorch and TensorFlow.</li>
- <li><strong>Inference Optimization:</strong> Optimize model inference for latency and throughput, implementing techniques such as quantization, pruning, and model distillation to deploy on edge devices and cloud infrastructure.</li>
- <li><strong>Research & Development:</strong> Conduct cutting-edge research to explore novel architectures and training paradigms that bridge the gap between narrow AI and general intelligence.</li>
- <li><strong>Data Pipeline Engineering:</strong> Build robust data pipelines for data collection, cleaning, and synthetic data generation to train high-quality models.</li>
- <li><strong>Collaboration:</strong> Partner with product managers, designers, and frontend engineers to integrate AI capabilities into seamless user experiences.</li>
- <li><strong>Ethical AI Leadership:</strong> Ensure all models adhere to safety guidelines and mitigate biases to promote responsible AI deployment.</li>
- </ul>
Qualifications
- <ul>
- <li><strong>Education:</strong> Master’s degree or PhD in Computer Science, Mathematics, or a related technical field is highly preferred (or equivalent industry experience).</li>
- <li><strong>Experience:</strong> 5+ years of professional experience in machine learning, deep learning, or natural language processing.</li>
- <li><strong>Technical Stack:</strong> Proficiency in Python, PyTorch, or JAX; experience with Hugging Face Transformers, LangChain, and vector databases (Pinecone, Weaviate).</li>
- <li><strong>System Design:</strong> Deep understanding of distributed systems, GPU computing (CUDA), and MLOps best practices (MLflow, Kubeflow).</li>
- <li><strong>Problem Solving:</strong> Exceptional ability to solve complex mathematical problems and debug intricate model failures.</li>
- <li><strong>Communication:</strong> Excellent verbal and written communication skills; ability to explain complex technical concepts to non-technical stakeholders.</li>
- </ul>