Job Description
Are you ready to define the technology landscape of 2026?
At Nexus Horizon Labs, we are not just building software; we are architecting the infrastructure for the future. We are seeking a visionary Senior Generative AI Engineer to spearhead our next-generation autonomous systems and Large Language Model (LLM) applications. You will work on high-impact projects that redefine human-machine interaction, pushing the boundaries of what's possible in the AI landscape.
Why join us? We offer a competitive salary, flexible remote-first work culture, and the opportunity to lead the charge in shaping the roadmap for 2026. If you are passionate about AI and ready to tackle complex challenges, we want to hear from you.
At Nexus Horizon Labs, we are not just building software; we are architecting the infrastructure for the future. We are seeking a visionary Senior Generative AI Engineer to spearhead our next-generation autonomous systems and Large Language Model (LLM) applications. You will work on high-impact projects that redefine human-machine interaction, pushing the boundaries of what's possible in the AI landscape.
Why join us? We offer a competitive salary, flexible remote-first work culture, and the opportunity to lead the charge in shaping the roadmap for 2026. If you are passionate about AI and ready to tackle complex challenges, we want to hear from you.
Responsibilities
- Design and implement scalable Generative AI models and LLM-based agents tailored for complex enterprise workflows.
- Optimize model inference and training pipelines to reduce latency and improve throughput for real-time applications.
- Conduct rigorous research on emerging AI paradigms, including diffusion models and multi-modal learning.
- Collaborate with product and engineering teams to integrate advanced AI capabilities into consumer and B2B products.
- Establish best practices for ethical AI, data privacy, and bias mitigation in model training and deployment.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- Extensive experience with Python, PyTorch, TensorFlow, and Hugging Face Transformers.
- Proven track record of deploying production-grade machine learning models.
- Deep understanding of Transformer architectures, RAG (Retrieval-Augmented Generation), and Fine-tuning strategies.
- Strong communication skills and the ability to translate technical concepts for non-technical stakeholders.