Job Description
At 2026 Dynamics, we are not merely forecasting the future; we are building the infrastructure that defines it. We are seeking a visionary Senior Generative AI Engineer to lead our core research division, focusing on next-generation Large Language Models (LLMs) and autonomous agent systems.
In this role, you will bridge the gap between cutting-edge research and production-grade engineering, deploying scalable AI solutions that will revolutionize industries. If you are passionate about the evolution of Artificial Intelligence and want to shape the digital landscape of the future, this is your opportunity.
Responsibilities
- Lead the research, development, and optimization of proprietary LLMs and multimodal architectures.
- Design and implement high-throughput, low-latency inference pipelines using modern GPU clusters.
- Collaborate with cross-functional teams to integrate AI models into consumer-facing products.
- Ensure model robustness, interpretability, and ethical alignment in all generated outputs.
- Mentor junior engineers and establish best practices for data pipelines and model deployment.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field.
- 5+ years of professional experience in Machine Learning and Deep Learning engineering.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Deep understanding of Transformer architectures, RAG, and Fine-tuning techniques.
- Experience with vector databases (e.g., Pinecone, Milvus) and orchestration tools (LangChain, LlamaIndex).