Job Description
Welcome to Apex Horizon Technologies, where we are not just predicting the future; we are building it. We are seeking a visionary Next-Gen AI Architect to lead our research into Generative Intelligence and Autonomous Systems. In this role, you will define the technical roadmap for our proprietary AI models that will power our platforms in 2026 and beyond.
As a key member of our R&D division, you will bridge the gap between theoretical breakthroughs and scalable production systems. You will work with a team of world-class engineers and data scientists to solve complex problems in natural language processing, computer vision, and multi-agent systems.
Why Join Us?
We offer a competitive compensation package, equity options, and a flexible remote-first culture. If you are passionate about the future of AI and want to leave a lasting legacy, we want to hear from you.
Responsibilities
- Architect Advanced Neural Architectures: Design and implement state-of-the-art deep learning models, focusing on LLMs and reinforcement learning agents.
- Optimize Inference Pipelines: Engineer high-performance systems capable of handling millions of transactions with sub-millisecond latency.
- Research & Development: Stay ahead of the curve by exploring emerging paradigms such as neural-symbolic AI and quantum-inspired algorithms.
- MLOps Implementation: Build and maintain robust CI/CD pipelines for model training, validation, and deployment.
- Cross-Functional Leadership: Collaborate with product managers and engineers to translate business requirements into technical AI solutions.
- Code Review & Mentorship: Lead technical reviews and mentor junior engineers to foster a culture of excellence and innovation.
Qualifications
- Advanced Degree: Master’s or PhD in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- Technical Expertise: 5+ years of experience in software development, with at least 3 years specializing in deep learning frameworks (PyTorch, TensorFlow, JAX).
- Model Engineering: Proven experience fine-tuning large language models and deploying them in production environments.
- System Design: Strong understanding of distributed systems, cloud architecture (AWS/GCP), and Kubernetes.
- Programming: Proficiency in Python and familiarity with SQL and NoSQL databases.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.