Job Description
Are you ready to build the future? Apex Future Systems is leading the charge on Project 2026, a revolutionary initiative designed to pioneer the next generation of autonomous artificial intelligence. We are looking for a visionary Senior AI Engineer to join our elite San Francisco team and architect the systems that will define the technological landscape of 2026 and beyond.
In this role, you won't just write code; you will define the architecture for intelligent systems that adapt and evolve. If you are passionate about pushing the boundaries of what is possible in Generative AI, Predictive Modeling, and Neural Networks, we want to hear from you.
Responsibilities
- Lead Architectural Design: Design and implement scalable, fault-tolerant AI architectures for Project 2026, focusing on edge computing and cloud integration.
- Model Optimization: Drive the optimization of deep learning models for speed, accuracy, and resource efficiency, ensuring they run seamlessly on next-gen hardware.
- R&D Innovation: Conduct cutting-edge research to integrate emerging technologies (e.g., Neuromorphic computing, Quantum-inspired algorithms) into our core product lines.
- Cross-Functional Collaboration: Partner with product managers, data scientists, and security experts to translate complex technical requirements into robust engineering solutions.
- Technical Mentorship: Mentor junior engineers and foster a culture of continuous learning and technical excellence within the engineering department.
- Production Deployment: Oversee the CI/CD pipeline for AI models, ensuring reliable deployment and monitoring of live systems.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field (or equivalent extensive industry experience).
- Experience: 5+ years of professional experience building and deploying production-level AI/ML models.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Proven experience with Large Language Models (LLMs) and Generative AI frameworks.
- Mathematical Proficiency: Strong foundation in Linear Algebra, Calculus, and Statistics.
- System Design: Experience designing microservices and distributed systems capable of handling high-throughput data streams.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.