Staff Software Engineer, Egnyte

• Demonstrates independent thinking, capable of analyzing unique challenges, overcoming technical hurdles and delivering impactful AI solutions
• Hands-on experience with Generative AI techniques, including LLM fine-tuning, prompt engineering, and diffusion models
• Strong knowledge of generative AI frameworks and tools, such as Hugging Face, LangChain, or OpenAI APIs
• Experience in developing and scaling Generative AI solutions for NLP, vision, or multimodal tasks
• Advanced knowledge of modern AI frameworks, such as PyTorch, TensorFlow/Keras, Hugging Face Transformers, and JAX/Flax
• Expertise in Python, Docker, Kubernetes, and Helm
• Excellent communication skills, particularly in mentoring, knowledge sharing, and cross-team collaboration
• 8+ years experience in managing large-scale datasets and distributed computing environments, with a preference for Google Cloud Platform expertise

Desirable

• Egnyte is scouting for an experienced Staff Engineer to drive innovation across AI initiatives, with a special emphasis on NLP solutions
• As a Staff Engineer, you will play a pivotal role in shaping the future of Gen AI at Egnyte by defining technical strategy, overseeing complex machine learning architectures, and ensuring seamless integration of Gen AI solutions into our platform and applications at scale
• You will mentor and guide a small engineering team while providing expertise in state-of-the-art AI/ML practices, ensuring a robust production pipeline and the professional management of models
• Help lead the technical strategy and execution for AI projects across the organization
• Designing and driving Gen AI features on peta-byte scale datasets
• Driving innovation in NLP and other ML solutions, ensuring alignment with Egnyte’s business goals
• Architecting, developing and overseeing scalable, production-ready AI systems
• Providing technical mentorship to the AI/ML engineering team, fostering growth and collaboration
• Conducting in-depth research and staying abreast of advancements in Gen AI and deep learning technologies
• Collaborating with cross-functional teams, including Product, to evaluate business requirements and determine optimal AI solutions
• Designing, deploying, and managing the lifecycle of AI/ML models, including retraining and monitoring for continuous improvement
• Reviewing code, offering best practices, and ensuring the delivery of high-quality solutions
• Representing Egnyte’s technical excellence through publications, presentations, and participation in industry events
• Opportunity to work on cutting-edge AI projects at scale