Salesforce Developer
6 days ago
Job Title : Salesforce Developer
Location : Remote
Experience : 5-8 Years
Company : :
Bridge Innovation with Execution :
- Translate functional AI-driven requirements into technical implementations, ensuring seamless integration with Salesforce.
- Drive the design, development, and deployment of AI-powered Salesforce solutions, incorporating Agentforce, Einstein AI, and Data Cloud.
Create Intelligent, Scalable Solutions :
- Develop, optimize, and deploy AI-powered workflows in Salesforce, ensuring high-performance, reusable, and reliable Apex & LWC components.
- Architect AI and ML models within the Salesforce ecosystem, leveraging Generative AI and predictive analytics for automation and decision-making.
- Design and build custom AI-enabled applications within Salesforce that enhance agent productivity and customer experience.
- Lead Data Cloud implementations, ensuring seamless data ingestion, transformation, and orchestration for AI-driven insights.
Ensure Quality & Compliance :
- Identify and resolve bugs and performance issues, ensuring optimal debugging and alignment with AI-powered business
requirements.
- Implement best practices for AI governance, model training, and ethical AI usage within :
- 5+ years of Salesforce development experience, with expertise in AI-powered features like Agentforce, Einstein AI, and Data Cloud.
- Hands-on experience developing, customizing, and deploying LWC, Visualforce, Apex Classes, and Triggers.
- Deep knowledge of Salesforce Configuration, Customization, and AI-driven Implementation.
- Experience with Salesforce integrations using REST, SOAP, and other APIs, ensuring AI-powered data connectivity.
- Proven experience in AI-enabled automation, machine learning models, and predictive analytics in Salesforce.
- Strong background in Salesforce Data Cloud architecture, building real-time AI-driven customer insights.
- Hands-on project life cycle experience, from AI-driven design to implementation and Qualifications :
- Experience with middleware solutions such as Mulesoft, Jitterbit, or other ETL tools for AI-driven data integrations.
- Expertise in AI-based customer experience automation, leveraging chatbots, NLP models, and predictive analytics.
- Understanding of Generative AI applications for automated workflows and intelligent decision-making.
- Ability to build AI-powered dashboards and predictive insights using Einstein Analytics and Tableau CRM.
(ref:hirist.tech)-
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