Senior AI Agent Engineer – Agentic Software Development
Summary
AI Engineer with expertise building agentic software development platforms using AWS, Strands Agents, Bedrock, Neptune, RDS, Step Functions, and Python. Experienced in code understanding, specification-driven development, automated test generation, evaluation frameworks, and AI-powered SDLC acceleration.
Keywords
- 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.
Other Details:
- Location:
Reston VA (Onsite), could be open to Remote depending on experience - Client:
Fannie Mae
The difference between something good and something great is attention to detail –
AVM Consulting
.