Job Description
Join the Architects of 2026. Nexus Horizon Labs is pioneering the next generation of artificial intelligence, building the foundational models that will define the future of work. We are seeking a visionary Senior AI/LLM Engineer to lead the development of scalable, secure, and transformative AI systems.
In this role, you won't just maintain the status quo; you will architect the technology stack for the year 2026 and beyond. You will work at the intersection of Deep Learning, Natural Language Processing, and distributed systems, pushing the boundaries of what's possible with Generative AI.
Why Join Us?
- Work on mission-critical infrastructure that scales to billions of users.
- Competitive equity package and top-tier compensation.
- Flexible remote-first culture with HQ in San Francisco.
What You'll Do:
- Design and implement state-of-the-art Large Language Models (LLMs) and multimodal systems.
- Optimize model inference for speed and cost-efficiency in production environments.
- Collaborate with cross-functional teams to integrate AI capabilities into consumer products.
- Research novel architectures to solve complex natural language understanding challenges.
- Mentor junior engineers and establish best practices for MLOps and data governance.
Who You Are:
- A Master’s or PhD in Computer Science, Mathematics, or a related field (or equivalent experience).
- Deep expertise in Python, PyTorch, or TensorFlow.
- Proven experience fine-tuning or training large-scale transformer models.
- Familiarity with vector databases, RAG pipelines, and LangChain.
- Experience deploying ML models in cloud environments (AWS/GCP/Azure).
- A passion for solving hard problems and a relentless drive for innovation.
Apply today to help build the future of intelligence.
Responsibilities
- Lead the design and training of proprietary LLMs using modern architectures (e.g., Transformers, Mamba).
- Optimize model performance through quantization, pruning, and distributed training strategies.
- Build robust MLOps pipelines to automate model training, evaluation, and deployment.
- Conduct cutting-edge research to stay ahead of the curve in AI advancements.
- Collaborate with product teams to translate technical requirements into scalable AI solutions.
- Ensure code quality, documentation, and adherence to security best practices.
Qualifications
- 5+ years of experience in Machine Learning, Deep Learning, or NLP.
- Strong proficiency in Python and C++.
- Hands-on experience with Hugging Face, PyTorch, and TensorFlow.
- Experience with vector databases (Pinecone, Milvus) and Retrieval-Augmented Generation (RAG).
- Experience with cloud infrastructure (AWS SageMaker, GCP AI Platform).
- Excellent problem-solving skills and ability to work in a fast-paced, agile environment.