Taro Logo

AI Backend Engineer/Distributed System Engineer-SMTS/LMTS

A leading enterprise software company providing customer relationship management and cloud-based solutions.
Machine Learning
Senior Software Engineer
Hybrid
5,000+ Employees
2+ years of experience
AI · Enterprise SaaS
This job posting may no longer be active. You may be interested in these related jobs instead:

Description For AI Backend Engineer/Distributed System Engineer-SMTS/LMTS

Salesforce's Service Cloud is seeking an AI Backend Engineer/Distributed System Engineer to join their innovative team. This role focuses on transforming customer service through AI-powered solutions. As part of the team, you'll work on designing and implementing highly scalable enterprise-grade AI/ML solutions, leading prototype development, and conducting experiments with new algorithms and models. The position offers a hybrid work environment that celebrates individual strengths while encouraging team growth.

The ideal candidate will have 2-12 years of experience in AI/ML implementation at scale, with expertise in languages like Python or Go. You'll be responsible for the complete ML lifecycle, from model training to deployment, while ensuring high availability and performance of systems. The role requires both technical excellence in AI/ML and strong interpersonal skills.

Salesforce offers a comprehensive benefits package including wellbeing reimbursement, parental leave, adoption assistance, and fertility benefits. This is an opportunity to work with a leading enterprise software company, making a real impact on customer service solutions while being part of a collaborative and innovative team. The position provides a perfect balance of technical challenges and professional growth in the rapidly evolving field of AI and machine learning.

Last updated 2 months ago

Responsibilities For AI Backend Engineer/Distributed System Engineer-SMTS/LMTS

  • Design, implement, test, and deliver highly scalable enterprise grade AI/ML solutions
  • Lead development of prototypes and rapid experimentation for new algorithms and models
  • Present designs to internal/external groups and review designs of others
  • Develop test strategies and design automation frameworks
  • Participate in team's on-call rotation
  • Write unit/functional tests to drive up code coverage

Requirements For AI Backend Engineer/Distributed System Engineer-SMTS/LMTS

Python
Go
  • 2 to 12 years of professional software development experience in implementing and operating AI/ML at scale
  • Understanding in at least one high-level programming language (C++, Python, Go, etc.)
  • Deep domain knowledge and expertise in AI/ML and data analysis
  • Experience in ML lifecycle, including model training, deployment, inferencing
  • Proficiency in safe AI/ML rollout methodologies
  • Proven ability to design and architect complex, high-performance systems
  • Excellent interpersonal skills
  • Degree or equivalent relevant experience required

Benefits For AI Backend Engineer/Distributed System Engineer-SMTS/LMTS

Parental Leave
  • Wellbeing reimbursement
  • Generous parental leave
  • Adoption assistance
  • Fertility benefits

Interested in this job?