Job Description
Company Description
👋🏼We’re Nagarro.
We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (17700+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We’re looking for great new colleagues. That’s where you come in.
Job Description
REQUIREMENTS:
- Total Experience 4+ years
- Strong experience in Salesforce development with Salesforce Einstein AI, including Prediction Builder and Einstein Discovery.
- Experience implementing Flows, Einstein Bots, and AI-driven automation.
- Strong knowledge of Sales Cloud and Service Cloud; exposure to Marketing Cloud is a plus.
- Solid understanding of data modeling, predictive analytics, and machine learning concepts within Salesforce.
- Proficiency in Apex, Lightning Web Components (LWC), SOQL, and Salesforce automation tools.
- Ability to integrate Einstein insights into Salesforce UI and business processes.
- Strong analytical, problem-solving, and communication skills.
- Experience working in Agile/Scrum environments.
RESPONSIBILITIES:
- Writing and reviewing great quality code.
- Design and implement Salesforce Einstein AI solutions including Einstein Prediction Builder, Einstein Discovery Models, and Einstein Recommendations.
- Develop and optimize Einstein AI capabilities integrated with Sales Cloud, Service Cloud, Marketing Cloud, and custom Salesforce applications.
- Work with business stakeholders to identify AI-driven use cases and translate them into scalable Salesforce solutions.
- Configure datasets, define target variables, and refine prediction accuracy for Einstein models
- Implement AI-assisted workflows, Next Best Action (NBA) strategies, and intelligent automation using Einstein Bots, Salesforce Flows, and Orchestration.
- Embed Einstein insights into Salesforce user experiences using Lightning Web Components (LWC), Apex, and Lightning components.
- Collaborate with data and analytics teams to ensure data quality, feature readiness, and model reliability
- Perform model testing, monitoring, performance tuning, and version management
- Create technical documentation, best practices, and support enablement for internal teams
- Collaborate with cross-functional teams including Sales, Service, Marketing, Analytics, and Product to drive AI adoption
Qualifications
Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
