Job Description
Shape the Future of Intelligence in 2026.
Nexus Future Labs is at the forefront of the Generative AI revolution. We are seeking a visionary Senior Generative AI Engineer to architect and deploy the next generation of Large Language Models (LLMs) and multimodal systems. If you are passionate about pushing the boundaries of AI and want to define the technical landscape for 2026, we want to meet you.
What You Will Do:
- Lead the end-to-end development of LLM fine-tuning pipelines and Retrieval-Augmented Generation (RAG) architectures.
- Optimize model performance for real-time inference in high-scale production environments.
- Conduct cutting-edge research on novel neural network architectures.
- Collaborate with cross-functional teams to integrate AI capabilities into enterprise software products.
- Establish best practices for MLOps, model governance, and ethical AI deployment.
Why Nexus Future Labs?
- Work on projects that define the industry standards for AI in 2026.
- Unlimited PTO and comprehensive health benefits.
- State-of-the-art remote work setup and continuous learning budget.
Responsibilities
- Design, train, and fine-tune foundation models using PyTorch and TensorFlow.
- Implement and maintain robust RAG pipelines to ensure data accuracy and reduce hallucinations.
- Reduce model latency and optimize resource utilization on cloud infrastructure (AWS/GCP).
- Conduct experiments with state-of-the-art LLMs (e.g., GPT-4, Llama 3) and open-source alternatives.
- Write clean, maintainable, and well-documented code that is scalable for future iterations.
Qualifications
- 5+ years of experience in software engineering, machine learning, or artificial intelligence.
- Strong proficiency in Python, C++, or Java.
- Deep understanding of Deep Learning, NLP, and Transformer architectures.
- Experience deploying models via cloud platforms (AWS, GCP, Azure) using Kubernetes and Docker.
- PhD or Master’s degree in Computer Science, Statistics, or a related technical field.