Job Description
Join the Future of Intelligence
Horizon Tech Solutions is pioneering the next generation of artificial intelligence, preparing to lead the market into the 2026 era of autonomous systems. We are seeking a visionary Senior AI/ML Engineer to architect and deploy scalable machine learning models that will redefine user interaction and automation.
In this role, you will not just build models; you will define the roadmap for our next-generation LLMs and generative AI infrastructure. You will work in a high-performance environment where innovation is the currency, and your work will have a tangible impact on millions of users worldwide.
Why Join Us?
- Work on cutting-edge Generative AI and Large Language Models.
- Competitive equity package and top-tier healthcare benefits.
- Flexible remote-first culture with headquarters in San Francisco.
The Role
We are looking for a technical leader who is passionate about the intersection of data science and product development. You will be responsible for the full lifecycle of AI development, from experimental research in our labs to production-grade deployment.
Responsibilities
- Design, train, and deploy advanced machine learning models and algorithms with a focus on Generative AI and NLP.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical solutions.
- Mentor junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
- Optimize existing models for latency, throughput, and scalability to handle enterprise-grade traffic.
- Stay ahead of industry trends, particularly regarding the 2026 AI landscape, and evaluate new technologies like WebGPU and edge AI.
- Conduct rigorous code reviews and contribute to the technical architecture of our core platform.
Qualifications
- PhD or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
- 5+ years of professional experience in machine learning, deep learning, or artificial intelligence.
- Strong proficiency in Python and deep frameworks such as PyTorch or TensorFlow.
- Proven experience building and deploying LLMs or RAG (Retrieval-Augmented Generation) pipelines.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.