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

AI EngineerAI 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.Must 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 Enablement Leverage 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 & Automation Build 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 & Optimization Design 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 Integration Develop backend services and automation scripts using PythonIntegrate AI agents with: Salesforce platformsDevOps pipelinesAPIs and enterprise applicationsLLM & Agentic Frameworks Implement solutions using LLMs (GPT, Claude, or similar)Build AI workflows using: RAG (Retrieval-Augmented Generation)Frameworks like LangChain (or equivalent)Collaboration & Delivery Work closely with Salesforce teams, QA, and architectsParticipate in sprint delivery with embedded AI workflowsDrive adoption of AI-led SDLC transformation