Sr. AI Agent Engineer – Agentic Software Development (100% Remote)
About The Position
The Sr. AI Agent Engineer will build agentic software development platforms using AWS, Strands Agents, Bedrock, Neptune, RDS, Step Functions, and Python. The role focuses on applying AI to accelerate the software development lifecycle through code understanding, specification-driven development, automated test generation, and evaluation frameworks. The engineer will develop agents and workflows that analyze source-code repositories, create structured application knowledge graphs, translate requirements and Jira stories into executable test cases, and support code review, impact analysis, dependency mapping, and remediation. The role also includes building grounding and evaluation systems, autonomous coding capabilities, and provenance and traceability for AI-generated software artifacts.
Requirements
- Expertise building agentic software development platforms using AWS, Strands Agents, Bedrock, Neptune, RDS, Step Functions, and Python.
- Experience with code understanding, specification-driven development, automated test generation, evaluation frameworks, and AI-powered SDLC acceleration.
- Experience building AI agents that ingest source-code repositories and construct structured knowledge graphs.
- Experience developing agentic workflows to turn requirements, Jira stories, and code changes into executable test cases.
- Experience implementing grounding systems using Neptune, RDS, and vector retrieval.
- Experience designing evaluation frameworks involving deterministic validation, sandbox execution, mutation testing, and calibrated scoring.
- Experience building AI-powered code review, impact analysis, dependency mapping, and automated remediation workflows.
- Experience developing autonomous coding agents that generate tests, documentation, and implementation recommendations from existing codebases.
- Experience creating provenance, lineage, and traceability systems for AI-generated software artifacts.
- Experience using Strands Agents and Bedrock to orchestrate software engineering workflows.
Responsibilities
- Build AI agents that ingest source-code repositories and construct structured knowledge graphs of applications.
- Develop agentic workflows that transform requirements, Jira stories, and code changes into executable test cases.
- Implement grounding systems using Neptune, RDS, and vector retrieval to reduce hallucinations.
- Design evaluation frameworks combining deterministic validation, sandbox execution, mutation testing, and calibrated scoring.
- Build AI-powered code review, impact analysis, dependency mapping, and automated remediation workflows.
- Develop autonomous coding agents that understand existing codebases and generate tests, documentation, and implementation recommendations.
- Create provenance, lineage, and traceability systems for AI-generated software artifacts.
- Use Strands Agents and Bedrock to orchestrate multi-step software engineering workflows.
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What This Job Offers
Career Level
Senior
Education Level
No Education Listed
