Salesforce Developer Intern: Build & Automate AI

Clearwater Analytics

Boise (ID)

On-site

USD 28,000 - 39,000

Full time

14 days+

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Job summary

Clearwater Analytics is seeking a Salesforce Developer Intern to help build, configure, and maintain Salesforce solutions. You will collaborate with senior developers to implement customizations, automate processes, and support integrations across Sales, Marketing, and Operations.

You will write Apex classes and Lightning Web Components, configure flows, and assist with data migration and API integrations. A strong foundation in OO programming and Salesforce basics is expected, with

Qualifications

Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent experience).
0-2 years of experience developing on the Salesforce platform (internships, coursework, or personal projects count).
Basic understanding of Apex, Visualforce, and/or Lightning Web Components.
Familiarity with object-oriented programming concepts.
Understanding of relational databases and basic SQL/SOQL.
Strong problem-solving skills and attention to detail.
Willingness to learn Salesforce best practices and platform updates.
Preferred (Not Required) Salesforce Platform Developer I certification (or in progress) and Salesforce Administrator certification.
Experience with version control (Git) and CI/CD tools.
Exposure to HTML, CSS, and JavaScript.
Interest in or exposure to AI/LLM tools.
Coursework, internship, or project experience involving CRM or business systems.

Responsibilities

Build and maintain custom objects, fields, page layouts, and record types in Salesforce.
Write Apex classes, triggers, and Lightning Web Components (LWC) under guidance from senior developers.
Configure Flows, Process Builder, and validation rules to automate business processes.
Support declarative (clicks-not-code) solutions before recommending custom code.
Write unit tests for Apex code to meet code coverage and quality standards.
Debug and troubleshoot issues in existing customizations and integrations.
Support user acceptance testing (UAT) and validate fixes before deployment.
Follow release management and deployment best practices (sandboxes, change sets, CI/CD tools).
Assist with integrations between Salesforce and other business systems (marketing automation, ERP, support tools).
Support data migration, imports, and data quality efforts using tools like Data Loader.
Help maintain APIs and middleware connections (e.g., REST/SOAP callouts, MuleSoft).
Partner with business analysts and stakeholders to understand requirements.
Translate business requirements into technical solutions within Salesforce.
Document technical designs, configurations, and code changes.
Provide day-to-day support for Salesforce users, resolving tickets and bugs as needed.
Help build and configure an interactive AI support agent within Salesforce to automate responses to common user questions.
Develop Apex classes and Lightning Web Components to connect the AI agent to Salesforce data.
Configure and train the AI agent using knowledge base content, FAQs, and support workflows.
Write test cases to validate AI agent responses, accuracy, and proper escalation to human agents.
Monitor and iterate on AI agent performance, expanding automated coverage over time.