Job Description
Are you ready to architect the intelligent systems of tomorrow? Horizon Tech is seeking a visionary Senior Generative AI Engineer to lead our roadmap for 2026.
In this pivotal role, you will define the next generation of Large Language Models (LLMs) and autonomous agents. We are building the infrastructure that powers the AI revolution, and we need a technical leader who understands the nuances of multimodal learning, reinforcement learning from human feedback (RLHF), and scalable inference pipelines.
Why Join Us?
- Future-Proof Your Career: Work on the cutting edge of AI technology designed for the 2026 landscape.
- Impact at Scale: Deploy models that influence millions of users globally.
- Competitive Compensation: $180k - $260k base salary plus equity.
The Role:
You will bridge the gap between theoretical research and production-grade engineering. You will optimize model performance, reduce latency, and ensure ethical AI deployment.
Responsibilities
- Architect and fine-tune state-of-the-art foundation models tailored for enterprise applications.
- Design robust MLOps pipelines for continuous model training and deployment.
- Optimize inference latency and cost using quantization and model distillation techniques.
- Collaborate with product teams to translate complex AI capabilities into user-friendly features.
- Lead code reviews and mentor junior engineers in best practices for deep learning.
- Stay ahead of the curve on emerging AI trends (e.g., multimodal agents, edge AI).
Qualifications
- Master’s degree or PhD in Computer Science, Mathematics, or a related field.
- 5+ years of experience in machine learning, deep learning, or NLP.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Proven track record of deploying LLMs into production environments.
- Strong understanding of distributed systems and cloud infrastructure (AWS/GCP).
- Excellent communication skills and a passion for ethical AI development.