(USA) Distinguished, Software Engineer-AI/ML Engineer - Agentic Systems & Site Reliability Engineering

About this kind of role

What a (USA) Distinguished, Software Engineer-AI/ML Engineer - Agentic Systems & Site Reliability Engineering usually does. The employer's own details are in the listing.

Typically does: This role involves designing, developing, and maintaining agentic systems, which are AI-powered systems that can autonomously perform tasks. It also includes ensuring the reliability and scalability of these systems through site reliability engineering practices. Responsibilities often encompass building and deploying machine learning models, monitoring system performance, and troubleshooting issues. Collaboration with other engineers and stakeholders is a key component of the work.

Tools and skills: Proficiency in programming languages like Python, experience with machine learning frameworks (e.g., TensorFlow, PyTorch), cloud platforms (e.g., AWS, Azure, GCP), and site reliability engineering tools is generally expected.

Good fit for: Individuals with a strong background in software engineering, machine learning, and a passion for building robust and scalable AI systems typically thrive in this role.