SALESFORCE DEVELOPER (AI)

Job Title: SALESFORCE DEVELOPER (AI)
Location: McleanVA
Duration: 12 Months
Visa: USC GC H1B and EAD
Contract Type: W2

Is seeking a talented and motivated AI-enabled Developer Professional to join our product delivery this role the individual will be responsible for the design development testing and implementation of Salesforce enhancements across Service Cloud Sales Cloud and Salesforce Experience Cloud. The role also involves building scalable resilient microservices using MuleSoft that integrate seamlessly with internal systems.

The individual will contribute to improving DevOps processes to increase efficiency and streamline delivery. You will serve as a key builder for rapid prototypes MVPs and experimental web tools leveraging modern AI coding assistants such as ChatGPT Claude and GitHub Copilot alongside hands-on Salesforce and MuleSoft development. The role also requires leveraging Java Unix and Python scripting as needed to support the platform. If you are a confident self-motivated professional with a passion for learning and collaboration Offers an exciting opportunity to grow and make an impact.

Key Responsibilities

AI-Assisted Engineering (Primary Focus)

Use GitHub Copilot / Copilot Chat (and similar tools) to accelerate:

• Code generation refactoring and documentation
• Unit/integration test generation and improvement
• API client generation data mappings and boilerplate reduction

Establish and follow best practices for AI-assisted coding including:

• Prompting patterns for reliable outputs (context-first prompts constraints examples)
• Trust but verify workflows: validate generated code via tests linters and reviews
• Secure usage patterns (no secrets in prompts avoid leaking proprietary code where restricted)

Create reusable prompt playbooks and team standards:

• Prompt templates for common tasks (Salesforce triggers LWC components Mule flows Spring controllers FastAPI endpoints)
• Code review checklists specific to AI-generated code (edge cases auth error handling logging)
• IDE workflows snippets repo templates scaffolding and codegen approaches
• CI checks that enforce quality gates (coverage thresholds static analysis SAST)
• Develop Salesforce features (Apex LWC Flows) and integrations.
• Build MuleSoft APIs and integrations (API-led connectivity DataWeave transformations policies).
• Build microservices in mule but comfortable modifying the ones built using Java (springboot)
• Implement integration patterns between Salesforce MuleSoft and downstream systems.
• Quality Security and Delivery
• Write and maintain automated tests (unit contract integration).
• Ensure secure coding practices (OAuth/JWT input validation least privilege secrets management).
• Participate in code reviews and ensure AI-generated code meets engineering standards.
• Support CI/CD pipelines and deployment processes.
• Required Qualifications (3 5 Years)

Required Qualifications (3 5 Years)

• 3 5 years of professional development experience.
• Strong hands-on experience with GitHub Copilot (or equivalent) in real delivery work:
• Demonstrated ability to use AI tools to speed up development without sacrificing quality
• Salesforce development experience: Apex LWC SOQL/SOSL security model.
• MuleSoft experience: Anypoint Studio DataWeave API design (RAML/OAS) API Manager.
• Strong Java and Python skills; experience building REST APIs and microservices.
• Solid Git workflow knowledge and experience working with CI pipelines.
• Experience defining team-wide AI coding standards and governance.