Job Description
The Future is Here. Are You Part of It?
Quantum Horizon 2026 is pioneering the next generation of generative intelligence. We are not just predicting the future; we are architecting it. We are looking for a visionary Senior AI Engineer to join our elite Project 2026 team and define the capabilities of tomorrow's technology.
In this role, you won't just write code; you will push the boundaries of machine learning, scaling our proprietary neural networks to handle unprecedented data volumes. If you are passionate about the intersection of ethics, scalability, and artificial intelligence, this is your stage.
Why Join Project 2026?
- Impact: Directly influence the core infrastructure that powers the next decade of tech.
- Autonomy: Work in a high-trust, high-velocity environment with minimal bureaucracy.
- Compensation: Top-of-market salary and equity packages.
Responsibilities
- Architect and optimize deep learning models for real-time, high-throughput inference systems.
- Lead the research and implementation of novel algorithms to improve model accuracy and efficiency.
- Collaborate with cross-functional teams (Product, Data Science, and Security) to translate business requirements into technical solutions.
- Ensure the scalability and robustness of AI infrastructure across cloud environments (AWS/GCP).
- Mentor junior engineers and conduct code reviews to maintain high technical standards.
- Stay ahead of industry trends to integrate cutting-edge research into production environments.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
- 7+ years of professional experience in software engineering, with 4+ years specifically in AI/ML.
- Proficiency in Python, PyTorch, TensorFlow, or JAX.
- Strong understanding of distributed systems, cloud architecture, and MLOps pipelines.
- Experience with large language models (LLMs) and fine-tuning methodologies.
- Excellent problem-solving skills and the ability to thrive in ambiguous, fast-paced settings.
- Strong communication skills, capable of explaining complex technical concepts to non-technical stakeholders.