Job Description
Are you ready to architect the next generation of artificial intelligence? Nexus Future Tech is looking for a visionary Senior Generative AI Engineer to lead our R&D initiatives for 2026 and beyond.
In this pivotal role, you won't just use existing tools; you will build the future. You will be at the forefront of Large Language Model (LLM) evolution, ethical AI development, and autonomous agent systems. If you are passionate about pushing the boundaries of what's possible in 2026, we want to meet you.
Why Join Us?
- Work with state-of-the-art infrastructure and compute resources.
- Competitive equity package and comprehensive health benefits.
- Flexible remote-first culture with a San Francisco hub.
Responsibilities
- Model Development: Design, train, and fine-tune proprietary Large Language Models (LLMs) tailored for enterprise applications.
- System Architecture: Architect scalable Retrieval-Augmented Generation (RAG) pipelines to enhance model accuracy and reduce hallucinations.
- Ethical AI: Implement robust guardrails and safety measures to ensure responsible AI deployment.
- Optimization: Optimize model inference latency and reduce operational costs for high-volume production environments.
- Cross-Functional Leadership: Collaborate with product managers, data scientists, and engineers to translate technical concepts into business value.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related field.
- Experience: 5+ years of professional experience in building production-grade machine learning systems.
- Technical Skills: Proficiency in Python, PyTorch, and TensorFlow; deep understanding of Transformer architectures.
- Language Model Expertise: Hands-on experience with fine-tuning LLMs (e.g., GPT-4, LLaMA) and deploying via APIs.
- Problem Solving: Proven track record of solving complex, unstructured data problems.