Salesforce AI Engineer
Tasks
- Apply DevOps practices across delivery lifecycle
- Build autonomous agents
- Build scalable Salesforce solutions with Apex
- Collaborate with architects consultants and stakeholders
- Connect large language models to enterprise data
- Deliver solutions using Agile methodologies
- Design AI features on Salesforce platform
- Develop Flow automations
- Develop Lightning Web Components
- Develop evaluation harnesses for AI quality
- Ground models in Salesforce data
- Implement REST API integrations
- Implement SOAP API integrations
- Integrate Salesforce with enterprise systems
- Monitor AI quality cost and latency in production
- Publish and consume Platform Events
- Set up CI/CD pipelines
- Translate business requirements into technical solutions
- Tune prompts and retrieval for accuracy
Perks/Benefits
- Employee wellbeing support
- Flexible working arrangements
- Hybrid working
- Mental health champions
- Wellbeing apps
Skills/Tech-stack
Agentforce | Agile | Azure DevOps | CI/CD | Data cloud | DevOps | Einstein AI | Embeddings | Event Driven | Event-driven architecture | Flow | GitHub | JavaScript | Language Models | Large Language Models | Lightning Web | Lightning Web Components | Model Builder | MuleSoft | Platform Events | Prompt engineering | RAG | REST API | Retrieval-Augmented Generation | SOAP API | Salesforce | Salesforce Apex | Vector Search | Web Components
Education
N/A
Roles
AI Engineer | Developer | Engineer | Salesforce AI Engineer | Salesforce Developer
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