Job Description
Are you ready to define the next generation of Artificial Intelligence?
Quantum Leap Technologies is at the forefront of the 2026 AI revolution. We are building the autonomous intelligent agents that will reshape how businesses interact with the world. As a Senior Generative AI Engineer, you won't just be maintaining models; you will be architecting the brain of our next-generation ecosystem. If you thrive on solving complex problems and pushing the boundaries of LLMs (Large Language Models), we want to meet you.
Why Join Us?
- Work on cutting-edge Generative AI and Autonomous Agents.
- Competitive compensation and equity packages.
- Flexible remote-first culture with hubs in SF and NYC.
- Access to state-of-the-art compute infrastructure.
Responsibilities
- Design, train, and fine-tune large-scale foundation models and LLMs for enterprise applications.
- Implement Retrieval-Augmented Generation (RAG) pipelines to enhance model accuracy and reduce hallucinations.
- Optimize model inference latency and throughput using techniques like quantization and distillation.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to integrate AI solutions.
- Maintain and monitor production models, ensuring robustness, security, and scalability.
- Stay ahead of the curve by researching emerging AI architectures and methodologies.
Qualifications
- Master’s degree or PhD in Computer Science, Machine Learning, or a related technical field (or equivalent practical experience).
- 5+ years of professional experience in Machine Learning, NLP, or Generative AI.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Deep understanding of transformer architectures, attention mechanisms, and model training strategies.
- Experience with vector databases (e.g., Pinecone, Milvus, Weaviate) and cloud ML platforms (AWS SageMaker, GCP AI Platform).
- Proven track record of deploying high-impact ML models to production environments.