Job Description
Are you ready to define the technological landscape of 2026?
Apex Horizon Systems is pioneering the next generation of autonomous agents and multimodal AI. We are seeking a visionary Senior AI Engineer to join our elite R&D division. In this role, you will not just build models; you will architect the intelligent systems that will power enterprise operations for the next decade. We are looking for a technical leader who thrives on ambiguity and is passionate about the ethical implications of AI.
As we accelerate towards our 2026 roadmap, your work will directly influence how millions of users interact with intelligent software. You will work in a collaborative, high-performance environment, pushing the boundaries of what is possible with Large Language Models (LLMs) and generative AI.
Why Join Us?
Apex Horizon Systems is pioneering the next generation of autonomous agents and multimodal AI. We are seeking a visionary Senior AI Engineer to join our elite R&D division. In this role, you will not just build models; you will architect the intelligent systems that will power enterprise operations for the next decade. We are looking for a technical leader who thrives on ambiguity and is passionate about the ethical implications of AI.
As we accelerate towards our 2026 roadmap, your work will directly influence how millions of users interact with intelligent software. You will work in a collaborative, high-performance environment, pushing the boundaries of what is possible with Large Language Models (LLMs) and generative AI.
Why Join Us?
- Work on cutting-edge, future-proof technology.
- Competitive equity package and top-tier benefits.
- Flexible remote-first culture with a San Francisco hub.
Responsibilities
- Model Architecture & Deployment: Design, train, and deploy scalable machine learning models using state-of-the-art frameworks (PyTorch, TensorFlow).
- Future-Proofing Infrastructure: Build robust MLOps pipelines to ensure models are production-ready, scalable, and maintainable for future updates.
- Research Leadership: Lead research initiatives into emerging AI paradigms, including Agentic AI and Multimodal learning, aligning with our 2026 strategic goals.
- Ethical AI Implementation: Ensure all models adhere to strict bias mitigation, safety, and privacy standards.
- Cross-Functional Collaboration: Partner with product managers and software engineers to translate complex AI capabilities into user-centric features.
- Performance Optimization: Continuously monitor model performance and implement optimizations to reduce latency and increase accuracy.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related technical field (or equivalent extensive industry experience).
- Technical Mastery: Deep expertise in Python, with proven experience in deep learning libraries (PyTorch, JAX, or TensorFlow).
- Experience: 5+ years of professional experience in Machine Learning, AI Engineering, or Data Science.
- Cloud Proficiency: Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Programming: Advanced knowledge of SQL and NoSQL databases.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.