AI Staff SW Systems Engineer

Job Responsibilities

• Be a thought leader and forward thinker, helping drive innovative vision across products and platforms, designing and launching strategic ML solutions, and delivering business-wide innovation
• Lead the full software development lifecycle including design, testing, deployment, and operations, guide technical discussions and strategy, and actively participate in design reviews, code reviews, and implementation
• Develop high-performance, production-ready ML code for next-generation real-time ML platforms, and extend existing ML libraries and frameworks
• Collaborate closely with engineers and scientists to accelerate model development, validation, and experimentation cycles, and integrate models and algorithms into production systems at scale

Requirements

• Degree in Computer Science, Mathematics, or a related field
• 6+ Years of full SDLC experience including design, coding, reviews, testing, deployment, and operations
• 6+ Years of experience building and deploying end-to-end ML solutions in production
• Hands-on experience developing Generative AI solutions such as RAG, AI Agents, and LLM fine-tuning in production
• Experience with large-scale distributed systems on cloud platforms such as AWS, Azure, or GCP
• Strong ability to solve complex and ambiguous problems

Preferred Qualifications

• MS or PhD in Computer Science, Machine Learning, or a related discipline…