Tata Consultancy Services is seeking an AI Engineer specializing in GitHub Copilot Agents for Salesforce Development and Testing. The role involves designing and building AI agents, leveraging Copilot for code generation and testing automation, and collaborating closely with Salesforce teams to enhance development workflows.
Responsibilities:
- Design and build AI agents using GitHub Copilot to support:
- Salesforce development (Apex, LWC, integrations)
- Automated testing and QA workflows
- Enable Copilot-driven code generation, refactoring, and debugging across SDLC
- Leverage AI and Copilot to accelerate:
- Apex / LWC development
- API integrations and backend logic
- Code modernization and enhancements
- Convert design artifacts (e.g., Figma inputs where applicable) into code scaffolding and components (based on Copilot usage patterns observed in internal PoCs)
- Build AI agents to automate:
- Test case generation
- Unit test creation and execution
- Regression and functional testing
- Use Copilot to improve test coverage, reduce manual effort, and enable TDD adoption
- Support transition toward AI-assisted/autonomous testing pipelines
- Design and optimize prompts using:
- Few-shot, structured prompting techniques
- Build prompt templates and reusable patterns for development and testing use cases
- Continuously refine prompts for better accuracy and context relevance
- Develop backend services and automation scripts using Python
- Integrate AI agents with:
- Salesforce platforms
- DevOps pipelines
- APIs and enterprise applications
- Implement solutions using LLMs (GPT, Claude, or similar)
- Build AI workflows using:
- RAG (Retrieval-Augmented Generation)
- Frameworks like LangChain (or equivalent)
- Work closely with Salesforce teams, QA, and architects
- Participate in sprint delivery with embedded AI workflows
- Drive adoption of AI-led SDL C transformation