Senior Agentic AI Software Engineer
Tasks
- Apply OWASP security standards
- Architect agentic AI business systems
- Automate code generation and refactoring workflows
- Bridge legacy APIs with modern services
- Build business critical enterprise applications
- Curate codebase context for agent workflows
- Defend against internal and external threats
- Deploy agentic workflows and MCP enabled tools
- Ensure security and compliance guardrails
- Estimate effort and milestones using AI assisted planning
- Explore architectural directions in parallel
- Generate supporting documentation diagrams and impact analyses
- Implement AI driven testing agents
- Implement secure key storage and rotation
- Lead human in the loop reviews of AI commits
- Optimize developer facing AI tools for token use and latency
- Transform user stories into executable specifications
- Translate delivery metrics into stakeholder updates
Perks/Benefits
- 401k
- Dental insurance
- Disability benefits
- Life insurance
- Medical insurance
- Paid time off
- Tuition assistance
- Vision insurance
Skills/Tech-stack
.NET | AWS Bedrock | Angular | Automation Anywhere | Azure | Azure DevOps | C Sharp | CI/CD | Claude Code | Cursor | Defense in Depth | Encryption | GitHub Copilot | Google Vertex | Google Vertex AI | Integration Testing | Key storage | MCP | NoSQL | Node.js | OWASP | Observability | Property-Based Testing | Python | RAG | RAG Workflows | RPA | SQL | SQL querying | Secure key storage | Telemetry | TypeScript | UiPath | Unit Testing | Vertex AI
Education
N/A
Regions
Countries
States
Cities
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