Senior AI Agent Engineer

Key Skills

• Agentic AI
• AWS Bedrock
• Strands Agents
• Software Development Lifecycle (SDLC)
• Code Understanding
• AST Parsing
• Source Code Analysis
• Knowledge Graphs (Neptune)
• Evaluation Frameworks (Evals)
• Test Automation
• Spec-Driven Development
• RAG
• Python
• Step Functions
• ECS / Lambda
• Vector Search
• GitHub Copilot
• Autonomous Agents

Key Experience

• Built AI agents that ingest source code repositories and construct structured knowledge graphs of applications.
• Developed agentic workflows that transform requirements, Jira stories, and code changes into executable test cases.
• Implemented grounding systems using Neptune, RDS, and vector retrieval to eliminate hallucinations.
• Designed evaluation frameworks combining deterministic validation, sandbox execution, mutation testing, and calibrated scoring.
• Built AI-powered code review, impact analysis, dependency mapping, and automated remediation workflows.
• Developed autonomous coding agents capable of understanding existing codebases and generating tests, documentation, and implementation recommendations.
• Created provenance, lineage, and traceability systems for AI-generated software artifacts.
• Leveraged Strands Agents and Bedrock to orchestrate multi-step software engineering workflows.