Senior Machine Learning Engineer, GenAIUX

Key job responsibilities

• Backend Integration (AI-Focused): Integrate with systems to manage asynchronous data flows from LLMs (Large Language Models) and other AI services.
• Optimize Performance: Ensure maximum speed and responsiveness of AI-driven interfaces, particularly when processing large datasets or real-time streaming output.
• Design and own end-to-end systems, spanning backend services, APIs, data storage, and frontend integration.
• Build and evolve GenAI-powered services that support design generation, validation, and automation workflows.
• Contribute to long-term technical vision and architecture decisions.
• Balance short-term delivery with scalable, maintainable system design.
• Work with internal teams to understand needs and translate them into robust solutions.
• Contribute to hiring, mentor junior engineers, and raise the overall engineering bar.

Basic Qualifications

• 5+ years of non-internship professional software development experience
• 5+ years of programming with at least one software programming language experience
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience as a mentor, tech lead or leading an engineering team
• Experience with emerging generative and agentic technologies
• Experience in machine learning and data science

Preferred Qualifications

• Bachelor's degree in computer science or equivalent
• Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Experience with agentic orchestration
• Prior experience working with AWS applications, a plus
• Experience with Bedrock, Kiro, or Claude a plus