Job Description
We are at the precipice of a technological renaissance. The year 2026 is not just a date; it is the turning point for autonomous intelligence. Join Apex Horizon Systems as our Lead AI Architect to pioneer the next generation of Agentic AI systems.
In this pivotal role, you will not just write code; you will architect the future of intelligent interaction. We are looking for a visionary engineer who understands that 2026 is the year of the Agent—systems that don't just respond, but act autonomously to solve complex problems with minimal human intervention.
Why Join Us?
- Work on cutting-edge Agentic AI frameworks.
- Competitive equity and salary package.
- Remote-first culture with top-tier talent.
Responsibilities
- Architect Agentic Workflows: Design and implement scalable, multi-agent architectures that enable autonomous decision-making and tool use.
- Optimize Inference Pipelines: Engineer high-performance inference engines capable of handling complex reasoning tasks in real-time.
- Drive Technical Roadmap: Define the technical strategy for 2026, ensuring our systems remain ahead of the curve in reasoning, memory, and planning capabilities.
- Collaborate with Research: Partner with data scientists to bridge the gap between theoretical research and production-grade systems.
- System Reliability: Ensure the robustness and security of critical AI infrastructure.
Qualifications
- Experience: 7+ years of software engineering experience, with at least 3 years focused on Machine Learning or AI systems.
- Technical Stack: Proficiency in Python, PyTorch, or TensorFlow, with strong knowledge of systems programming in Rust or Go.
- Education: MS or PhD in Computer Science, AI, or a related quantitative field.
- Domain Knowledge: Deep understanding of Large Language Models (LLMs), RAG architectures, and Vector Databases.
- Leadership: Proven ability to lead engineering teams and mentor junior developers in a fast-paced environment.