Senior GenAI Engineer

Job Description

Design, fine-tune, deploy, and scale enterprise Generative AI systems, integrating them with platforms such as ServiceNow, GitHub, Tableau, and SharePoint. Lead AI infrastructure and productization, improve internal automation and workflows, and promote responsible AI adoption through collaboration, training, and stakeholder engagement.

Requirements: Requires a bachelor's or master's degree in computer science, machine learning, data science, or a related field, plus at least three years of applied AI/ML experience. Candidates should have expertise in LLMs and model development, cloud and MLOps infrastructure, software engineering, data pipelines and databases, and communicating technical strategies to business leaders.

Key Skills: Generative AI, Large Language Models, Natural Language Processing, Transformers, Model Fine-Tuning, Hugging Face, PyTorch, TensorFlow, MLOps, LLMOps, Cloud AI Infrastructure, Docker, Kubernetes, Python, JavaScript, API and Microservices Development

Benefits: Performance Bonus, Medical Insurance, Dental Insurance, Vision Insurance, Life and AD&D Insurance, Short-Term Disability, Long-Term Disability, Fertility and Family-Forming Assistance, Wellbeing Allowance, Educational Assistance, Mental Health Coaching and Therapy, Health Savings Account, Healthcare and Dependent Care Flexible Spending Accounts, 401(k) Retirement Plan, Vacation, Sick Time, Personal Days