Salesforce is looking to solve the problem of leveraging advanced generative AI services, pipelines, and components to drive the development and delivery of Agentforce, which includes building citations and guardrails for LLMs.
Requirements
- 3+ years of industry experience in ML engineering, building AI systems and/or services
- Experience with distributed, scalable systems and modern data storage, messaging, and processing frameworks, such as Kafka, Spark, Docker, and Hadoop
- Strong programming skills in Python or Java, with experience in building ML pipelines
- Basic understanding of deep learning and machine learning algorithms
- Experience with LLMs and prompt engineering
- Proven experience building and applying machine learning models to business applications
- Expertise in retrieval systems and search algorithms
Responsibilities
- Build and own end-to-end scalable services that can be integrated with numerous applications, support thousands of tenants, and operate at scale in production.
- Drive system efficiencies through automation, including capacity planning, configuration management, performance tuning, monitoring, and root cause analysis.
- Participate in periodic on-call rotations and be available to resolve critical issues.
- Collaborate with Product Managers, Application Architects, Data Scientists, and Deep Learning Researchers to understand customer requirements, design prototypes, and bring innovative technologies to production.
- Integrate generative AI, building citations and guardrails for LLMs into Agentforce
- Use the latest LLM algorithms and technologies to build the next wave of intelligent agents
- Participate in the end-to-end AI product development lifecycle, designing and developing scalable generative AI systems and services
Other
- Bachelors (or) Masters degree in Computer Science, Software Engineering, or related STEM field
- Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams
- Strong written and verbal communication skills
- Ability to work in a collaborative environment
- Ability to learn and adapt to new technologies and processes
