Job Description
We are on the frontier of artificial intelligence, building the systems that will define the next decade of human-computer interaction. As a Senior Generative AI Engineer, you will lead the design and deployment of cutting-edge Large Language Models (LLMs) and multimodal systems that drive our core product innovations. If you are passionate about pushing the boundaries of what AI can achieve and want to work in a high-impact environment, we want to meet you.
Why Join Us?
- Impactful Work: Directly influence the future of AI agents and automation.
- Top-Tier Compensation: Competitive salary plus equity package.
- Modern Stack: Work with PyTorch, Hugging Face, and cloud-native infrastructure.
- Remote-First Culture: Flexible working environment for the best talent.
Responsibilities
- Architect and train proprietary Large Language Models (LLMs) using transformer architectures and deep learning frameworks.
- Optimize model inference performance for real-time applications and large-scale deployment.
- Design and implement Retrieval-Augmented Generation (RAG) pipelines to enhance model accuracy and reduce hallucinations.
- Collaborate with product and research teams to translate business requirements into technical AI solutions.
- Ensure data privacy, ethical AI practices, and compliance with industry regulations.
- Mentor junior engineers and establish best practices for MLOps and model governance.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related field, or equivalent professional experience.
- 5+ years of experience in machine learning, deep learning, or natural language processing.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Experience with fine-tuning pre-trained models (e.g., GPT, BERT, LLaMA) on custom datasets.
- Deep understanding of NLP concepts, including tokenization, embeddings, and attention mechanisms.
- Proven track record of deploying machine learning models to production environments.