AI Developer/Agent Engineer
First seen by Alion on Jul 30, 2026.
Role : AI Developer / Agent Engineer with Angular
Responsibilities :
1. Agent Development & Workflow Engineering :
- Design, build, and configure AI agents and agentic workflows across SDLC phases (Development Phase).
- Implement task-specific agents (coding, testing, documentation, DevOps).
- Implement multi-step and event-driven workflows (Agent cascading).
- Ensure agents are scalable, modular, and reusable across teams (wherever possible).
2. Prompt Engineering & Optimization :
- Design and maintain high-quality prompt templates for code generation, test case creation, configuration and documentation, and continuous improvement.
3. Agent Platform Development :
- Build and orchestrate agent workflows using GitHub Copilot (GHCP), Microsoft Copilot Studio, and Rovo Studio.
4. MCP Integration & Agent Skills :
- Implement Model Context Protocol (MCP) integrations for context sharing across tools and cross-agent collaboration.
- Develop custom agent skills including custom instructions and domain-specific capabilities.
5. CI/CD Integration & Automation (Optional) :
- Embed AI agents into CI/CD pipelines for code validation, automated testing, and deployment assistance.
- Build AI-augmented CI/CD pipelines.
6. Test Automation & Quality Engineering :
- Develop AI-generated test suites including unit tests, integration tests, and regression suites.
- Integrate testing agents into development workflows.
- Ensure no sensitive data leakage in prompts or outputs.
- Ensure proper logging and traceability of AI actions.
- Support audit and compliance requirements.
7. Hands on Experience in Angular
Skills
Artificial Intelligence, Agentic AI, Prompt Engineering, Generative AI, Machine Learning, Copilot, Workflows