Job Description
Shape the Future of Intelligence.
Apex Horizon is at the forefront of the 2026 technological paradigm shift. We are not just building software; we are architecting the neural fabric of tomorrow. We are seeking a visionary Senior AI Engineer to lead the development of next-generation Generative AI models and Autonomous Agent systems.
In this role, you will bridge the gap between theoretical research and production-scale deployment. You will work with a world-class team to solve complex problems in Natural Language Processing (NLP), Computer Vision, and Reinforcement Learning, ensuring our AI solutions are safe, ethical, and transformative.
Why Apex Horizon?
- Work on cutting-edge LLMs and Agentic workflows.
- Competitive equity package and top-tier healthcare.
- Flexible remote-first culture with a San Francisco hub.
- Access to the latest hardware for model training and inference.
Responsibilities
- Model Architecture & Training: Design, implement, and train large-scale Multimodal LLMs using PyTorch and TensorFlow, optimizing for performance and scalability.
- Autonomous Agent Systems: Develop robust reasoning engines and autonomous agents capable of complex decision-making in dynamic environments.
- MLOps & Deployment: Build and maintain CI/CD pipelines for AI model deployment, ensuring high availability and low latency inference.
- R&D Collaboration: Stay ahead of the curve by integrating the latest research findings (e.g., MoE architectures, RAG techniques) into our production stack.
- Ethical AI Governance: Implement safety filters, bias mitigation strategies, and interpretability tools to ensure responsible AI deployment.
- Technical Leadership: Mentor junior engineers, conduct code reviews, and define technical standards for the AI engineering team.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Machine Learning, or a related quantitative field from a top-tier university.
- Technical Stack: Deep proficiency in Python, PyTorch, and CUDA programming. Experience with Hugging Face Transformers and LangChain is required.
- Experience: 5+ years of experience in building, training, and deploying large-scale machine learning models in a production environment.
- Specialization: Strong background in NLP, LLM fine-tuning, or Reinforcement Learning for decision making.
- Problem Solving: Proven ability to tackle complex, unstructured problems with elegant algorithmic solutions.
- Communication: Excellent written and verbal communication skills, capable of explaining complex technical concepts to diverse stakeholders.