Job Description
We are on a mission to define the AI landscape of 2026. Nexus AI Labs is seeking a visionary Senior Generative AI Engineer to architect the next generation of large-scale language models and autonomous agents. If you are passionate about pushing the boundaries of what is possible in machine learning and want to build systems that will define the future of human-computer interaction, we want to meet you.
In this role, you will bridge the gap between cutting-edge research and production-grade engineering. You will lead the technical strategy for our upcoming 2026 roadmap, ensuring our models are not only state-of-the-art but also scalable, efficient, and ethically aligned.
Responsibilities
- Lead the architecture and implementation of proprietary Generative AI models, focusing on LLM fine-tuning, RLHF, and RAG pipelines.
- Design and deploy scalable MLOps infrastructure to handle millions of daily inference requests with sub-millisecond latency.
- Collaborate with product teams to translate complex business requirements into robust technical AI solutions.
- Conduct rigorous model evaluation, bias detection, and safety testing to ensure compliance with emerging 2026 AI governance standards.
- Drive the research and development of multimodal capabilities, integrating vision, audio, and text into unified models.
- Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related technical field.
- 7+ years of professional experience in AI/ML engineering, with a proven track record of shipping production models.
- Deep proficiency in Python, PyTorch, TensorFlow, or JAX.
- Extensive experience working with Large Language Models (GPT-4, Claude, Llama 3) and fine-tuning methodologies.
- Strong understanding of distributed systems, Kubernetes, and cloud-native architecture (AWS/GCP).
- Familiarity with prompt engineering best practices and automated evaluation frameworks.