AI Engineer LMTS

Salesforce is a leading cloud-based software company providing CRM and enterprise solutions for businesses worldwide.
Machine Learning
Staff Software Engineer
Hybrid
5,000+ Employees
2+ years of experience
AI · Enterprise SaaS

Description For AI Engineer LMTS

Salesforce is seeking an AI Engineer LMTS to join their Service Cloud team, focusing on transforming customer service through AI-powered solutions. This role combines cutting-edge AI development with enterprise-scale challenges, offering an opportunity to impact thousands of customers. The position involves working with generative AI, RAG systems, and large language models in a hybrid work environment. The ideal candidate will lead the development of AI/ML solutions, from prototype to production, while ensuring high quality and scalability. This role at Salesforce offers the chance to work with a leading enterprise software company, with comprehensive benefits and a collaborative culture that emphasizes individual growth and innovation. The position requires expertise in AI/ML development, strong programming skills, and the ability to design complex systems that support AI workloads. Join a team that's shaping the future of customer service technology while working with the latest AI advancements.

Last updated 2 hours ago

Responsibilities For AI Engineer 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 automation frameworks
  • Participate in on-call rotation to address problems in real-time
  • Ensure high availability of services

Requirements For AI Engineer LMTS

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

Benefits For AI Engineer LMTS

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

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