Job Description
We are pioneering the next generation of intelligent systems. As a Generative AI Engineer at Nexus Future Labs, you will be at the forefront of developing large language models, multimodal systems, and autonomous agents designed for the year 2026 and beyond. You will work in a high-performance environment, collaborating with world-class researchers and engineers to build scalable AI solutions that redefine user interaction.
Why Join Us?
- Work on cutting-edge Generative AI technologies.
- Competitive compensation and equity packages.
- Flexible remote-first culture with premium benefits.
Responsibilities
- Design, train, and fine-tune state-of-the-art Large Language Models (LLMs) for specific enterprise use cases.
- Develop and optimize Retrieval-Augmented Generation (RAG) pipelines to enhance model accuracy and reduce hallucinations.
- Implement prompt engineering strategies and agent-based workflows to automate complex business logic.
- Collaborate with data scientists to curate high-quality training datasets and conduct model evaluation.
- Ensure the scalability and security of AI infrastructure, implementing best practices for GPU utilization.
- Mentor junior engineers and contribute to the technical roadmap for future AI capabilities.
Qualifications
- Master’s degree or PhD in Computer Science, Machine Learning, or a related technical field (or equivalent experience).
- 3+ years of professional experience in machine learning, deep learning, or natural language processing.
- Strong proficiency in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Deep understanding of transformer architectures, attention mechanisms, and generative model theory.
- Excellent problem-solving skills and the ability to work in a fast-paced, iterative development environment.