Job Description
Are you ready to architect the future of artificial intelligence? QuantumLeap Systems is seeking a visionary Senior Generative AI Engineer to lead our R&D division in shaping the 2026 AI ecosystem. We are on a mission to build next-generation Large Language Models (LLMs) and multimodal systems that redefine human-machine interaction.
In this role, you will bridge the gap between theoretical research and scalable production engineering. You will work closely with our product and data science teams to deploy robust, ethical, and high-performance AI models that solve real-world problems.
Why join us?
- Work with state-of-the-art transformer architectures and GPU clusters.
- Shape the roadmap for the AI landscape leading up to 2026.
- Competitive compensation and equity package.
- Flexible remote-first culture.
Responsibilities
- Architect and fine-tune large-scale foundation models using PyTorch and TensorFlow.
- Implement Retrieval-Augmented Generation (RAG) pipelines to enhance model accuracy and reduce hallucinations.
- Optimize inference latency and throughput for high-volume deployment environments.
- Conduct rigorous testing and evaluation of model performance against industry benchmarks.
- Mentor junior engineers and researchers on best practices in deep learning and MLOps.
- Collaborate with cross-functional teams to integrate AI capabilities into consumer and enterprise products.
Qualifications
- Master’s or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
- 5+ years of professional experience in building AI/ML models, with a focus on NLP and Generative AI.
- Deep expertise in transformer architectures, attention mechanisms, and diffusion models.
- Proficiency in Python, CUDA, and GPU acceleration libraries (e.g., JAX, Triton).
- Experience with MLOps tools such as MLflow, Kubeflow, or AWS SageMaker.
- Strong understanding of data ethics, bias mitigation, and responsible AI practices.