Job Description
Quantum Nexus Labs is leading the charge into the future. We are seeking a visionary Lead AI Engineer to spearhead our 2026 Horizon Initiative, a cutting-edge research program focused on developing autonomous cognitive agents and quantum-enhanced machine learning models.
In this pivotal role, you will bridge the gap between theoretical AI research and scalable production engineering. You will be responsible for architecting the next generation of neural networks that power our predictive analytics platform. If you are passionate about shaping the technological landscape of 2026 and beyond, this is your opportunity to define the future.
Responsibilities
- Architectural Vision: Design and implement the core infrastructure for the 2026 AI ecosystem, ensuring scalability, security, and high performance.
- Model Development: Lead the research and deployment of advanced Large Language Models (LLMs) and reinforcement learning agents.
- Technical Leadership: Mentor a team of junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- System Optimization: Optimize model inference latency and reduce computational costs using edge computing and quantization techniques.
- Strategic R&D: Stay ahead of the curve by integrating emerging technologies such as neuromorphic computing and blockchain for data integrity.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 7+ years of experience in software engineering and machine learning, with at least 3 years in a lead capacity.
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and distributed systems (Kubernetes, Docker).
- Specialized Skills: Proven track record in fine-tuning LLMs, NLP, and implementing MLOps pipelines.
- Communication: Exceptional ability to articulate complex technical concepts to non-technical stakeholders and drive cross-functional collaboration.