Job Description
We are seeking a visionary Senior AI Engineer to join Nebula AI Labs and help architect the next generation of Generative Intelligence. As we look toward the 2026 era of AI, we need an expert who can bridge the gap between theoretical research and scalable production deployment.
In this pivotal role, you will lead the development of advanced Large Language Models (LLMs), optimize inference pipelines, and define the technical roadmap for our future products. If you are passionate about the future of AI and want to build systems that will define the technological landscape of 2026 and beyond, we want to hear from you.
Responsibilities
- Design and implement scalable transformer architectures and state-of-the-art LLMs for production environments.
- Optimize model inference latency and resource efficiency to support real-time applications.
- Conduct cutting-edge research in prompt engineering, fine-tuning strategies (LoRA, P-Tuning), and multi-modal learning.
- Collaborate with cross-functional product teams to translate 2026 strategic goals into technical specifications.
- Establish best practices for MLOps, CI/CD pipelines, and model governance.
- Conduct technical code reviews and mentor junior data scientists and engineers.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field, with a focus on AI/ML.
- 5+ years of professional experience in Deep Learning, NLP, or Computer Vision.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Proven experience fine-tuning large foundation models (e.g., GPT-4, Llama 3, Mistral) on custom datasets.
- Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/K8s).
- Excellent communication skills and a track record of shipping high-impact software products.