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Global Talent Acquisition at Rhythm Innovations
Salesforce AI Engineer
Remote, hybrid or onsite
Requires 6+ years in Salesforce Development experience. * Please note this is not a Salesforce Administrator position.
Role & Responsibilities:
- Fine-tune Salesforce native AI models based on CRM data, including Sales, Service, and Marketing Cloud data.
- Work with Salesforce Data Cloud to prepare high-quality datasets for AI use.
- Prompt Engineering:
- Develop, test, and refine effective prompts for Salesforce Einstein GPT and custom GPT models (Flows, Apex code generation, knowledge article generation).
- Build a prompt library for reusable AI-assisted solutions across sales, service, marketing, and dev teams.
- Implement AI-driven solutions for automating repetitive development tasks (e.g., Flow GPT, Apex GPT).
- Integrate Salesforce AI tools with DevOps pipelines where possible.
- Collaborate with required stakeholders to design Proofs of Concept (PoCs) using AI (new apps, CRM features, automation bots).
- Evaluate new Salesforce AI releases and recommend pilots/adoption (Einstein Copilot, Prompt Studio, Model Builder).
- Educate internal teams on prompt best practices and AI ethics.
Required Skills:
- Strong experience with Salesforce platform (Sales Cloud, Service Cloud, Experience Cloud, Apex, Flows, LWC).
- Good understanding of AI/ML concepts (fine-tuning, large language models, bias, training data).
- Familiarity with Salesforce metadata structure, API integration, and Data Cloud (CDP).
- Experience using tools like ChatGPT, Copilot, FlowGPT, or Salesforce CodeGen is a plus.
- Excellent written and verbal communication for prompt writing and documentation.
Preferred Qualifications:
- Salesforce Certifications:
- Salesforce Certified Platform Developer I
- Background in AI/ML engineering, NLP, data science, or related fields (bonus).
Seniority level
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Mid-Senior level
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Information TechnologyIndustries
Software Development
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