Machine Learning Operations (MLOps) Engineer LLM, Internal Systems

GlobalLogic seeks a Machine Learning Operations Engineer to develop customer-facing AI experiences and LLM-powered features for audio production platforms. The role focuses on designing, building, and deploying engaging, real-time AI applications integrated into digital audio workstations and plugins.

• Design and build interactive, user-facing LLM-powered features such as virtual assistants, creative copilots, and intelligent workflow tools
• Work closely with product, design, and audio engineering teams to embed AI capabilities into DAWs and plugins
• Implement efficient, low-latency model serving strategies for real-time user interactions
• Develop robust prompt engineering and response strategies tailored to creative workflows
• Partner with cloud and infrastructure engineers to leverage AWS SageMaker and production deployment pipelines
• Analyze usage patterns and feedback to continuously improve AI-driven features

• 3+ years of experience in Machine Learning Engineering, Applied AI, or related roles with production applications
• Hands-on experience with LLMs (OpenAI APIs, open-source models, LangChain, LlamaIndex)
• Strong proficiency in Python and scalable API development
• Experience designing and deploying interactive or real-time AI systems
• Solid understanding of LLM concepts: prompt engineering, RAG, and model evaluation
• Familiarity with cloud-based ML infrastructure (AWS, SageMaker)
• Understanding of latency, cost, and performance trade-offs in production LLM serving
• Bachelor's or Master's degree in Computer Science or related field, or equivalent practical experience
• Bonus: Knowledge of music production workflows, DAWs, or audio plugins

The position is part of GlobalLogic's Internal Systems division, focusing on audio/sound recording domain. Collaborative team environment working with product, design, audio engineering, and ML infrastructure teams.