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Job Category
Customer Success
Job Details
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We are looking for a talented Salesforce AI developer with 3 plus years of experience in Salesforce development and 1 year relevant expertise in developing Salesforce AI features . The ideal candidate should have good understanding around Prompt Engineering, Predictive and Generative AI , RAG, Einstein Copilot, and Einstein capabilities across Sales Cloud and Service Cloud. This role focuses on integrating AI-driven solutions to optimize business processes and enhance customer experience using Salesforce Einstein solutions.
Key Responsibilities:
Einstein Feature Development:
- Implement and configure Sales Cloud Einstein features such as Einstein Lead Scoring, Opportunity Insights, Einstein Activity Capture, and Forecasting to enhance sales operations.
- Develop and deploy Service Cloud Einstein solutions including Einstein Bots, Einstein Case Classification, Einstein Reply Recommendations, and Einstein Article Recommendations to optimize customer service.
Einstein Copilot & AI Assistance:
- Work with Einstein Copilot to build interactive AI-powered assistants that streamline user workflows, offer personalized guidance, and automate routine tasks.
- Use Prompt Engineering to fine-tune responses and interactions in Einstein Copilot, ensuring it delivers high-quality conversational AI experiences.
Custom AI Solutions:
- Develop custom AI-driven applications and components using Einstein Vision, Einstein Language, and Einstein Prediction Builder.
- Collaborate with data teams to build predictive models and use Einstein Discovery to uncover actionable insights from Salesforce data.
Salesforce Development:
- Customize Salesforce applications using Apex, Lightning Web Components (LWC), and integrate Einstein features within existing processes.
- Design and deploy AI solutions for automating workflows, enhancing CRM functionality, and improving business decision-making.
- Experience in Lightning Flows and other declarative automation
- Good experience in Salesforce Security and Data model for Sales & Service Cloud
Collaboration & Client Engagement:
- Work closely with cross-functional teams including sales, customer service, and marketing to identify areas where Einstein AI features can deliver value.
- Collaborate with business stakeholders to define AI use cases, design solutions, and drive adoption of Einstein AI tools across the organization.
Skills and Qualifications: ( Must Have)
Salesforce Einstein Experience:
- Hands-on experience with Sales Cloud Einstein features (e.g., Lead Scoring, Opportunity Insights, Activity Capture).
- Strong understanding of Service Cloud Einstein (e.g., Bots, Case Classification, Article Recommendations).
- Experience working with Einstein Copilot, creating and refining prompts to ensure optimal conversational interactions.
- Experience in Salesforce Einstein Chatbots
- Knowledge of Einstein Prediction Builder, Einstein Discovery, and Einstein Vision/Language.
Prompt Engineering:
- Skilled in Prompt Engineering for fine-tuning AI-generated responses and creating high-quality, context-aware prompts for Einstein Copilot and other AI-powered tools.
Salesforce Platform
- Strong understanding of Salesforce Sales Cloud and Service Cloud implementations.
- Customize Salesforce applications using Apex, Lightning Web Components (LWC), and integrate Einstein features within existing processes.
- Experience in Salesforce Lightning Flows & declarative automations
- Experience in Salesforce Security
- Experience in Integration using REST or SOAP
Preferred Skills:
- Salesforce Certifications: Platform Developer I, Einstein Analytics and Discovery Consultant, App Builder, AI Associate
- Strong communication skills for working with stakeholders to deliver AI-powered solutions.
- Familiarity with AI/ML concepts and frameworks, such as Python or other AI/ML libraries, is a plus. ( Good to have)
- Salesforce Data Cloud experience.
- Familiarity with higher level trends in LLMs and open-source platforms
- Experience working on RAG ,Prompt Engineering, Information Retrieval, Data Embedding
Accommodations
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Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.