Job Description
Are you ready to architect the intelligent systems of tomorrow? Nexus Horizon Labs is seeking a visionary Principal Agentic AI Engineer to lead the development of next-generation autonomous agents. As we prepare for the technological landscape of 2026, we need a leader who understands the nuances of Agentic Workflows, Multi-modal Reasoning, and Self-Correcting AI.
In this role, you will define the technical strategy for our core AI infrastructure, bridging the gap between theoretical machine learning breakthroughs and scalable production systems. If you are passionate about building AI that not only thinks but acts, we want to hear from you.
Responsibilities
- Architect and deploy scalable Autonomous Agent frameworks capable of complex, multi-step reasoning.
- Design and optimize MLOps pipelines for real-time model inference and continuous learning.
- Lead the integration of Vector Databases and RAG architectures to enhance semantic understanding.
- Collaborate with product teams to translate abstract AI concepts into tangible user experiences.
- Establish best practices for Ethical AI, transparency, and bias mitigation in autonomous systems.
- Conduct rigorous code reviews and mentor a team of talented ML engineers.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related field.
- Minimum of 5+ years of experience in Machine Learning, Deep Learning, or Software Engineering.
- Deep expertise in Large Language Models (LLMs), Transformers, and Prompt Engineering.
- Proficiency in Python, PyTorch, and modern cloud infrastructure (AWS/GCP).
- Experience with distributed systems, containerization (Docker/K8s), and high-performance computing.
- Strong understanding of Reinforcement Learning and Agent-based simulation.