Job Description
We are building the operating system for the future. As a Senior AI Engineer, you will be instrumental in defining the architecture for our 2026 roadmap, focusing on autonomous agents and next-generation Large Language Models (LLMs).
We are looking for a visionary technologist who thrives in ambiguity and wants to push the boundaries of what is possible with Generative AI. If you are passionate about building scalable, ethical, and high-performance AI systems, we want to meet you.
Responsibilities
- Architect and deploy state-of-the-art machine learning models for real-time inference.
- Lead the integration of LLMs into our core product ecosystem, focusing on context retention and accuracy.
- Optimize model latency and resource utilization for edge and cloud deployment.
- Collaborate with product and engineering teams to translate complex business needs into technical AI solutions.
- Establish best practices for MLOps, data governance, and model monitoring.
- Conduct research to evaluate emerging AI frameworks and methodologies.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
- 5+ years of professional experience in machine learning engineering or data science.
- Deep expertise in Python, PyTorch, and TensorFlow.
- Strong proficiency in cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Proven experience fine-tuning or fine-tuning pre-trained models (e.g., Llama, GPT-4, BERT).
- Excellent problem-solving skills and ability to work in a fast-paced, agile environment.