Job Description
Shape the Future of Intelligence.
At Horizon 2026 Technologies, we are not just building software; we are architecting the autonomous workforce of tomorrow. We are seeking a visionary Agentic AI Lead to spearhead the development of next-generation autonomous agents set to redefine productivity in 2026 and beyond.
In this pivotal role, you will bridge the gap between theoretical AI research and practical, scalable enterprise solutions. You will lead a world-class team in deploying self-driving agents capable of complex decision-making, executing multi-step workflows, and adapting to dynamic environments.
Why Join Us?
We offer equity in a unicorn startup, a fully remote-first culture, and the unique opportunity to define the roadmap for the AI landscape of 2026. If you want to move beyond traditional Machine Learning and build the brains of the future, this is your stage.
Responsibilities
- Define the 2026 Vision: Create a comprehensive roadmap for Agentic AI architectures, ensuring alignment with the company's long-term strategic goals.
- Lead Autonomous Development: Oversee the engineering of multi-agent systems that can autonomously plan, execute, and optimize complex business workflows.
- Architect Scalable Systems: Design robust, fault-tolerant systems capable of handling high-throughput interactions in real-time.
- Bridge Research and Production: Translate cutting-edge advancements in LLMs and Reinforcement Learning into production-ready features.
- Ethical AI Compliance: Establish and enforce governance frameworks to ensure AI autonomy adheres to safety and ethical standards.
- Team Mentorship: Foster a culture of innovation, continuous learning, and technical excellence within the AI engineering squad.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- 10+ years of experience in software engineering, with at least 5 years in AI/ML leadership roles.
- Deep expertise in Large Language Models (LLMs), RAG architectures, and Agentic workflows.
- Proven track record of delivering complex, scalable AI systems from concept to deployment.
- Strong background in Python, PyTorch, or TensorFlow.
- Exceptional problem-solving skills and a 'builder' mentality.
- Ability to communicate complex technical concepts to non-technical stakeholders.