Job Description
We are pioneering the next generation of intelligent systems at Nexus Future Labs. As a Senior Generative AI Engineer, you will lead the design and deployment of cutting-edge Large Language Models (LLMs) that power our enterprise solutions. You will work in a fast-paced, high-performance environment, collaborating with world-class researchers and engineers to push the boundaries of what's possible in AI.
Why Join Us?
- Work on mission-critical AI infrastructure that impacts millions of users.
- Competitive compensation and equity packages.
- Flexible remote-first culture with state-of-the-art equipment.
Responsibilities
- Architect and optimize scalable LLM inference pipelines using modern frameworks (TensorFlow, PyTorch, JAX).
- Develop and fine-tune foundation models using proprietary and open-source datasets.
- Implement Retrieval-Augmented Generation (RAG) architectures to enhance model accuracy and relevance.
- Conduct rigorous model evaluation, bias testing, and safety alignment to ensure robust performance.
- Collaborate with product managers to translate technical requirements into innovative AI features.
- Mentor junior engineers and contribute to the technical roadmap for AI research.
Qualifications
- Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
- 5+ years of professional experience in deep learning, NLP, or generative AI.
- Strong proficiency in Python and deep learning frameworks (PyTorch, TensorFlow).
- Proven experience deploying models in production environments (AWS, GCP, Azure).
- Deep understanding of transformer architectures, attention mechanisms, and prompt engineering.
- Experience with vector databases (Pinecone, Milvus, Weaviate) and RAG frameworks.