Job Description
Are you ready to architect the next generation of intelligent systems? Quantum Dynamics is seeking a visionary Senior AI Engineer to lead our core product roadmap. We are not just building software; we are defining the future of human-computer interaction through cutting-edge artificial intelligence. If you are passionate about deep learning, large language models, and building scalable systems, we want to hear from you.
As a Senior AI Engineer at Quantum Dynamics, you will be at the forefront of innovation, working on projects that have a global impact. You will collaborate with a world-class team of researchers and engineers to develop AI agents that are not only powerful but also safe, ethical, and user-centric.
Why join us?
- Competitive salary and equity package.
- Comprehensive health, dental, and vision coverage.
- Flexible remote-first work environment.
- Continuous learning and development budget.
Responsibilities
- Design, develop, and deploy advanced machine learning models and AI agents using Python and modern deep learning frameworks.
- Lead the architecture of scalable data pipelines to support model training and inference at scale.
- Collaborate with cross-functional teams including product managers, designers, and researchers to translate business requirements into technical solutions.
- Mentor junior engineers and contribute to the technical culture of the engineering organization.
- Stay abreast of the latest research and trends in AI, NLP, and Generative AI to continuously improve our product offerings.
- Optimize model performance and reduce inference latency for real-time applications.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
- 5+ years of professional experience in software engineering with a focus on Machine Learning or AI.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Proven experience with LLMs (Large Language Models), RAG (Retrieval-Augmented Generation), and prompt engineering.
- Deep understanding of software engineering best practices, including version control (Git), CI/CD, and testing methodologies.
- Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.