Job Description
Welcome to the frontier of intelligence. Nexus Future Labs is on a mission to architect the future of synthetic cognition. We are seeking a visionary Senior Generative AI Engineer to lead the development of our next-generation Large Language Model (LLM) infrastructure.
In this role, you won't just build models; you will define the ethical frameworks and technical architectures that power the applications of 2026 and beyond. You will collaborate with world-class researchers and product strategists to push the boundaries of what AI can achieve.
Why Join Us?
- Work on cutting-edge LLMs and multimodal systems.
- Competitive equity and a remote-first culture.
- Focus on high-impact, scalable solutions.
Responsibilities
- Design, train, and fine-tune state-of-the-art generative models (GPT, LLaMA, etc.) using PyTorch and TensorFlow.
- Optimize inference pipelines for speed and cost-efficiency, ensuring real-time performance.
- Implement Retrieval-Augmented Generation (RAG) architectures to enhance model accuracy and context.
- Establish best practices for data privacy, security, and bias mitigation in AI systems.
- Collaborate with product teams to translate complex AI capabilities into user-centric features.
- Mentor junior engineers and contribute to the technical roadmap for future AI iterations.
Qualifications
- PhD or Master’s degree in Computer Science, Machine Learning, or a related field.
- 5+ years of experience in NLP, Deep Learning, or Generative AI development.
- Strong proficiency in Python and experience with Hugging Face Transformers.
- Experience with MLOps tools (MLflow, Kubeflow) and cloud platforms (AWS, GCP, Azure).
- Deep understanding of transformer architectures and attention mechanisms.
- Proven track record of deploying scalable AI solutions in production environments.