Job Description
Join Nexus Future Systems as our Lead AI Architect and help define the technological landscape of 2026 and beyond. We are looking for a visionary engineer to build the next generation of autonomous AI agents and multimodal learning systems.
In this pivotal role, you will bridge the gap between theoretical AI research and practical, scalable engineering solutions. You will lead a team of elite engineers in developing systems that are not just reactive, but proactive, capable of long-horizon planning and complex decision-making.
Why Join Us?
We are funded by top-tier VCs and are on a mission to deploy AGI-ready infrastructure by 2026. You will have the autonomy to choose the tech stack and the freedom to experiment with cutting-edge research.
Responsibilities
- Architecting the 2026 Roadmap: Design the core infrastructure for our next-gen AI platform, ensuring scalability, security, and ethical AI compliance.
- Model Optimization: Lead the development and fine-tuning of Large Language Models (LLMs) for enterprise deployment, focusing on inference speed and cost-efficiency.
- Team Leadership: Mentor a high-performing engineering team, fostering a culture of innovation and continuous learning.
- R&D Integration: Translate academic research into production-ready code, integrating novel algorithms into our core product.
- Stakeholder Management: Collaborate with product managers and C-suite executives to align technical roadmaps with business objectives.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
- Experience: 7+ years of experience in software engineering, with at least 3 years in leading AI/ML architecture.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing systems (Kubernetes, AWS).
- AI Expertise: Deep understanding of transformer architectures, reinforcement learning, and neural network optimization.
- Visionary Mindset: Demonstrated ability to anticipate future trends in AI and translate them into technical strategy.