Senior AI Systems Engineer — Agentic ML & Production

Salesforce; San Francisco (CA); On-site; USD 149,000 - 224,000; Full time

Job summary

Salesforce AI Research is looking for a Machine Learning Engineer to incubate next-generation agentic AI platform. You will work with research scientists, software engineers, product managers and solution engineers closely to design, implement and iterate agentic AI systems with customers.

With your strong technical competence, strategic thinking and customer engagement, you will innovate at the frontier of the field, having the opportunity to create new solutions and define new categories of

Qualifications

• Strong proficiency in Python; solid experience with C and/or Java.
• Hands-on experience with deep learning frameworks.
• Experience building production-quality AI systems and agentic workflows.

Responsibilities

• Design, implement and iterate agentic AI systems with customers.
• Collaborate with research scientists, software engineers, product managers and solution engineers.
• Build scalable, secure, and high-quality AI-driven solutions.

Skills

Python

LLM

Distributed systems

C/C++/Java

Docker

Cloud platforms

AI/ML foundations

System design

Tools

Docker

AWS/GCP/Azure

Job description

Salesforce AI Research is looking for a Machine Learning Engineer to incubate next-generation agentic AI platform. You will work with research scientists, software engineers, product managers and solution engineers closely to design, implement and iterate agentic AI systems with customers.

With your strong technical competence, strategic thinking and customer engagement, you will innovate at the frontier of the field, having the opportunity to create new solutions and define new categories of