Job Description
Are you ready to define the technological landscape of 2026?
Quantum Horizon Inc. is seeking a visionary Future-Ready AI Architect to lead our next-generation artificial intelligence initiatives. We are not just building for today; we are architecting the systems that will power the enterprise of tomorrow.
In this pivotal role, you will spearhead the development of advanced Generative AI, Large Language Models (LLMs), and autonomous agent frameworks. You will bridge the gap between theoretical research and production-grade scalability, ensuring our solutions are robust, ethical, and future-proof.
Why join us? We offer a competitive equity package, flexible remote-first culture, and the opportunity to work on projects that redefine human-computer interaction.
Responsibilities
- Architect LLM Infrastructure: Design and implement scalable Retrieval-Augmented Generation (RAG) pipelines and vector databases to enhance model accuracy and context retention.
- Model Optimization: Fine-tune and optimize pre-trained models for specific enterprise use cases, focusing on latency reduction and cost efficiency.
- Prompt Engineering Strategy: Develop advanced prompt engineering frameworks and guardrails to ensure AI outputs are safe, compliant, and aligned with business goals.
- Cross-Functional Leadership: Collaborate with product managers, data scientists, and software engineers to translate complex business requirements into technical AI solutions.
- Research & Innovation: Stay ahead of industry trends, experiment with emerging AI paradigms, and contribute to internal patent submissions.
- System Monitoring: Establish robust monitoring and evaluation pipelines to continuously measure model performance and drift over time.
Qualifications
- Experience: 5+ years of experience in software engineering, with at least 3 years specifically focused on Machine Learning or Artificial Intelligence.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, or Hugging Face Transformers.
- LLM Knowledge: Deep understanding of Large Language Models, NLP concepts, and transformer architectures.
- Cloud Expertise: Proven track record deploying models on major cloud platforms (AWS, GCP, or Azure) using containerization (Docker, Kubernetes).
- Data Fluency: Strong ability to work with large datasets, perform data cleaning, and implement MLOps best practices.
- Problem Solving: Exceptional analytical skills with a demonstrated ability to troubleshoot complex system issues and optimize performance under pressure.