Job Description
We are pioneering the next generation of Artificial Intelligence and are looking for a visionary Future Tech Lead to define our roadmap for the year 2026. In this high-impact role, you will not just build software; you will architect the technological foundation for a smarter, autonomous future.
Our team is obsessed with the convergence of Generative AI, Quantum Computing, and Edge IoT. As we prepare for the technological leap into 2026, we need an expert who thrives on ambiguity and can translate futuristic concepts into scalable, production-grade solutions. You will be the architect of our core algorithms, ensuring our systems are future-proof, ethical, and exponentially faster than the competition.
Responsibilities
- Design and implement scalable machine learning architectures tailored for 2026 computing paradigms.
- Lead the integration of Quantum AI algorithms into existing neural network frameworks.
- Oversee the migration of legacy systems to next-gen cloud-native infrastructures.
- Establish rigorous testing protocols for autonomous AI agents and predictive models.
- Mentor a team of elite engineers and data scientists in cutting-edge research methodologies.
- Define the technical vision and product roadmap for our 2026 flagship release.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
- 7+ years of experience in AI/ML engineering with a focus on Large Language Models (LLMs).
- Proficiency in Python, PyTorch, and Rust.
- Hands-on experience with quantum computing frameworks (e.g., Qiskit, Cirq) or high-performance computing (HPC).
- Strong background in distributed systems, microservices, and cloud architecture (AWS/GCP).
- Demonstrated ability to lead cross-functional teams in a fast-paced, innovative environment.