Job Description
Join the Architects of Tomorrow. Nexus Horizon Technologies is seeking a visionary Senior AI Engineer to spearhead our roadmap for 2026. In this pivotal role, you will design and deploy next-generation Agentic AI systems that will redefine industry standards. If you are passionate about the intersection of Large Language Models (LLMs) and autonomous agents, and you want to build the technology that will dominate the landscape in 2026, we want to hear from you.
As a leader in our AI division, you will bridge the gap between theoretical research and production-grade applications. We offer a highly competitive package, equity opportunities, and the chance to work on projects that have a tangible impact on the global economy.
Why Join Us?
- Work on cutting-edge Agentic AI architectures.
- Competitive compensation package ($160k - $240k).
- Flexible remote-first policy with a hub in San Francisco.
- Annual sabbatical program for work-life balance.
Responsibilities
- Architect LLM Systems: Design and implement scalable, secure, and efficient AI architectures tailored for the 2026 era, focusing on Agentic workflows and autonomous decision-making.
- Model Optimization: Fine-tune and optimize Large Language Models (LLMs) for low-latency inference and high accuracy in production environments.
- Research & Development: Stay ahead of the curve by exploring emerging AI trends, contributing to internal white papers, and evaluating novel research papers for practical application.
- Collaboration: Partner with product managers and data scientists to translate complex business requirements into robust technical solutions.
- Mentorship: Lead a team of junior engineers and data scientists, fostering a culture of innovation, continuous learning, and technical excellence.
- Deployment: Manage the end-to-end machine learning lifecycle, from data ingestion and preprocessing to model serving and monitoring.
- Compliance: Ensure all AI systems adhere to ethical guidelines, data privacy regulations (GDPR/CCPA), and safety standards.
Qualifications
- Education: Master’s or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- Experience: 5+ years of professional experience in software engineering, with at least 3 years specifically focused on AI/ML model development and deployment.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Strong understanding of Deep Learning fundamentals and NLP.
- Tooling: Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Problem Solving: Demonstrated ability to troubleshoot complex technical challenges and optimize system performance under tight constraints.
- Communication: Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
- Future-Forward Mindset: A proactive attitude towards adopting new technologies and a genuine interest in the trajectory of AI development through 2026 and beyond.