Job Description
Are you ready to define the technology stack of 2026?
At Apex Horizon Labs, we are not just building software; we are architecting the future of human-AI symbiosis. We are seeking a visionary Senior Generative AI Engineer to lead our R&D division in building scalable, safe, and extraordinary Large Language Models (LLMs).
In this role, you will bridge the gap between theoretical AI research and production-grade engineering. You will work at the forefront of Agentic AI, Vector Databases, and Autonomous Systems. If you are passionate about pushing the boundaries of what's possible in artificial intelligence and want to leave a lasting legacy in the tech landscape, this is your stage.
Why Join Us?
- Work on mission-critical AI infrastructure used by millions.
- Competitive equity and salary packages reflecting your market value.
- Flexible work environment in the heart of San Francisco.
- Access to cutting-edge hardware and research resources.
Responsibilities
- Model Development & Optimization: Design, train, and fine-tune state-of-the-art Generative AI models (GPT-4, Claude, Llama) using PyTorch and TensorFlow.
- Architecture Design: Build robust Retrieval-Augmented Generation (RAG) pipelines and vector search architectures to enhance model accuracy and context retention.
- Deployment & MLOps: Implement scalable CI/CD pipelines for model deployment, ensuring high availability and minimal latency in production environments.
- Ethical AI Governance: Develop and enforce guidelines to ensure model fairness, reduce bias, and prevent hallucinations in AI outputs.
- Collaboration: Partner with product managers, data scientists, and security teams to translate complex AI capabilities into user-friendly applications.
- R&D Leadership: Stay ahead of industry trends, experiment with novel architectures, and contribute to patentable innovations.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 5+ years of professional experience in software engineering with a heavy focus on AI/ML.
- Technical Skills: Proficiency in Python, C++, and experience with deep learning frameworks (PyTorch, JAX, or TensorFlow).
- AI Expertise: Deep understanding of Transformer architectures, attention mechanisms, and natural language processing (NLP).
- Tools: Familiarity with LangChain, LlamaIndex, Kubernetes, and cloud platforms (AWS/GCP/Azure).
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.