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AI Engineer _ GitHub Copilot Agents (Salesforce Development & Testing)

ClifyxMcLean, VAMay 21st, 2026
AI Engineer with strong hands-on experience in building GitHub Copilot-based AI agents to accelerate Salesforce development and testing. The role will focus on leveraging agentic AI and prompt engineering to automate SDLC activities and improve delivery efficiency.Job DescriptionMust Have Technical/Functional SkillsHands-on experience with GitHub Copilot for development and testing automationProven ability to build AI agents / Copilot-driven workflowsStrong Salesforce development experience (Apex, LWC, integrations)Strong Python programming skills (mandatory)Experience in Prompt Engineering and prompt optimizationExperience working with LLMs (GPT, Claude, etc.)Knowledge of:Test automation frameworksSDLC lifecycle automationAPI and integration patternsPreferred SkillsExperience implementing agentic development in Salesforce ecosystemExposure to:Agentforce / Salesforce AI / enterprise AI toolsCI/CD pipelines with AI automationExperience building:Multi-agent workflowsAutonomous testing solutionsRoles & ResponsibilitiesCopilot Agent Development (Core Responsibility)Design and build AI agents using GitHub Copilot to support:Salesforce development (Apex, LWC, integrations)Automated testing and QA workflowsEnable Copilot-driven code generation, refactoring, and debugging across SDLCSalesforce Development EnablementLeverage AI and Copilot to accelerate:Apex / LWC developmentAPI integrations and backend logicCode modernization and enhancementsConvert design artifacts (e.g., Figma inputs where applicable) into code scaffolding and components (based on Copilot usage patterns observed in internal PoCs)AI-Driven Testing & AutomationBuild AI agents to automate:Test case generationUnit test creation and executionRegression and functional testingUse Copilot to improve test coverage, reduce manual effort, and enable TDD adoptionSupport transition toward AI-assisted/autonomous testing pipelinesPrompt Engineering & OptimizationDesign and optimize prompts using:Few-shot, structured prompting techniquesBuild prompt templates and reusable patterns for development and testing use casesContinuously refine prompts for better accuracy and context relevancePython & AI IntegrationDevelop backend services and automation scripts using PythonIntegrate AI agents with:Salesforce platformsDevOps pipelinesAPIs and enterprise applicationsLLM & Agentic FrameworksImplement solutions using LLMs (GPT, Claude, or similar)Build AI workflows using:RAG (Retrieval-Augmented Generation)Frameworks like LangChain (or equivalent)Collaboration & DeliveryWork closely with Salesforce teams, QA, and architectsParticipate in sprint delivery with embedded AI workflowsDrive adoption of AI-led SDLC transformation