Job Description
We are seeking a visionary Senior Generative AI Engineer to lead the next generation of intelligent applications at Nexus Innovations. In this pivotal role, you will architect scalable solutions that leverage Large Language Models (LLMs) to solve complex business challenges. You will be responsible for pushing the boundaries of AI capabilities, ensuring our models are not only accurate but also safe and efficient.
Join us in defining the future of technology in 2026 and beyond. You will work in a collaborative, high-performance environment where innovation is the standard.
Responsibilities
- Develop and deploy state-of-the-art generative models, including fine-tuning and prompt engineering for LLMs.
- Design and optimize Retrieval-Augmented Generation (RAG) pipelines to enhance data accuracy and relevance.
- Implement rigorous evaluation frameworks to monitor model performance, latency, and cost efficiency.
- Collaborate with product and engineering teams to translate complex requirements into robust AI architectures.
- Ensure data privacy, security, and ethical AI practices across all model deployments.
Qualifications
- PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- 5+ years of professional experience in Python, PyTorch, or TensorFlow.
- Deep expertise in Transformer architectures, neural network optimization, and distributed computing.
- Proven experience deploying LLMs in production environments using cloud platforms (AWS, GCP, or Azure).
- Strong background in MLOps, CI/CD pipelines, and version control systems.