Description
Key Responsibilities
1. AI Agents for Application Development
- Design and build AI agents that assist in application development lifecycle (SDLC)
- Develop agents for:
- Code generation & scaffolding
- API development & integration
- Code refactoring and optimization
- Enable developer copilots for faster feature delivery
2. AI Agents for Application Enhancements
- Build agents to:
- Analyze existing codebases and suggest enhancements or optimizations
- Automate bug detection and resolution
- Support impact analysis for changes
- Develop agents for legacy modernization and code migration (e.g., Java/.NET upgrades)
3. Testing & QA Automation Agents
- Create agents to:
- Automatically generate unit, integration, and regression test cases
- Perform test execution and defect prediction
- Enable self-healing test automation frameworks
7. Evaluation & Optimization
- Define metrics for:
- Developer productivity improvement
- Code quality and defect reduction
- Optimize for cost, latency, and accuracy of LLM usage
8. Governance & Security
- Ensure:
- Secure code handling and IP protection
- Compliance with enterprise AI governance
- Guardrails to prevent insecure or non-compliant code generation
Required Skills & Experience
Core Skills
- Solid program
📌 DE&A - AIML - Deep Learning - Generative AI (Bengaluru)
🏢 Zensar Technologies
📍 Bengaluru
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