Job Description
Join Apex Horizon Technologies, a leader in next-generation autonomous systems, as we prepare to launch our revolutionary AI suite in 2026. We are seeking a visionary Senior AI/LLM Engineer to architect the brain of our upcoming products. If you are passionate about pushing the boundaries of Generative AI, ethical machine learning, and autonomous agents, this is your opportunity to define the technology landscape of the future.
As we move towards the 2026 roadmap, you will work at the intersection of theoretical research and production-grade engineering. We value innovation, scalability, and a deep understanding of the ethical implications of advanced AI.
Responsibilities
- Architect Next-Gen AI Models: Design, train, and fine-tune large language models (LLMs) tailored for complex reasoning and autonomous task execution.
- Optimize Agentic Workflows: Implement robust agent-based systems that can navigate dynamic environments and execute multi-step logic with minimal human intervention.
- Ensure Safety & Ethics: Develop and implement safety protocols and alignment techniques to ensure AI outputs are unbiased, safe, and aligned with human values.
- Scalable Infrastructure: Build and maintain high-performance, low-latency inference pipelines capable of handling millions of requests.
- Mentorship & Strategy: Guide a team of junior researchers and engineers, fostering a culture of continuous learning and technical excellence.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 5+ years of experience in AI/ML, with at least 2 years focused on LLM development and deployment.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and modern MLOps tools (Kubernetes, MLflow, Ray).
- Research: Strong background in Natural Language Processing (NLP), Transformers, and Reinforcement Learning from Human Feedback (RLHF).
- Problem Solving: Demonstrated ability to tackle complex mathematical problems and translate them into scalable code.