Job Description
We are seeking a visionary Senior Generative AI Engineer to lead our cutting-edge research division. As we architect the intelligence systems of tomorrow, you will define the protocols and models that power our global platform. In this role, you will bridge the gap between theoretical research and scalable production deployment, ensuring our AI solutions are not only powerful but ethical and efficient.
Why join us? We are building the foundation for the AI-native web of 2026. You will work with a world-class team of researchers, ethicists, and engineers to push the boundaries of what is possible with Large Language Models (LLMs) and multimodal architectures.
Responsibilities
- Design, train, and fine-tune state-of-the-art Large Language Models (LLMs) to solve complex business problems.
- Implement and optimize Retrieval-Augmented Generation (RAG) pipelines to ensure factual accuracy and reduce hallucinations.
- Conduct rigorous evaluation of model performance, including safety, bias, and reasoning capabilities.
- Collaborate with product teams to integrate generative features into user-facing applications seamlessly.
- Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Stay ahead of the curve in AI research, experimenting with emerging architectures like Mamba or hybrid models.
Qualifications
- Master’s or PhD degree in Computer Science, Mathematics, or a related field.
- 5+ years of professional experience in machine learning, NLP, or deep learning.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Proven track record of deploying LLMs to production environments.
- Experience with Hugging Face, LangChain, or vector databases (Pinecone, Weaviate).
- Deep understanding of transformer architectures and attention mechanisms.