Job Description
Join Nexus Future Systems as we pioneer the next generation of artificial intelligence. We are seeking a visionary Senior Generative AI Engineer to architect scalable, robust, and efficient large language model (LLM) applications that redefine user interaction. If you are passionate about the intersection of deep learning, creative computing, and real-world impact, we want to hear from you.
Why Join Us?
- Work on cutting-edge projects that define the future of the industry.
- Competitive salary and comprehensive benefits package.
- Flexible remote-first culture with a focus on innovation.
- Opportunity to mentor junior engineers and shape technical strategy.
Responsibilities
- Design, train, and fine-tune large language models (LLMs) and diffusion models to achieve state-of-the-art performance.
- Architect Retrieval-Augmented Generation (RAG) pipelines to ensure factual accuracy and reduce hallucinations.
- Optimize model inference latency and reduce operational costs through quantization, pruning, and distillation techniques.
- Collaborate closely with product managers and designers to translate complex AI capabilities into intuitive user experiences.
- Stay at the forefront of AI research by implementing the latest papers and methodologies in production environments.
- Conduct code reviews and establish best practices for AI engineering within the organization.
Qualifications
- PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- 5+ years of professional experience in software engineering, with a focus on AI/ML.
- Deep expertise in deep learning frameworks such as PyTorch, TensorFlow, or JAX.
- Strong proficiency in Natural Language Processing (NLP) and transformer architectures.
- Experience with vector databases (e.g., Pinecone, Milvus) and cloud infrastructure (AWS, GCP, Azure).
- Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment.