AI Development Solution Engineering Specialist (Hybrid)
Tasks
- Create evaluation frameworks with test sets and performance metrics
- Create reusable frameworks documentation and technical guidance
- Design build and deploy production agentic systems
- Develop agent orchestration for task decomposition tool integration context and state
- Implement governance compliance and auditability controls
- Monitor observe and validate production performance
- Partner with business stakeholders to assess processes and identify automation opportunities
- Plan scalability and support release readiness
Perks/Benefits
Skills/Tech-stack
Agent Orchestration | Agent SDK | Automated testing | CI/CD | Claude Agent SDK | Context Management | Data Governance | Git | Long Running Workflows | MCP | Model Context Protocol | Observability | Privacy | Prompt engineering | Python | Regression testing | Reproducibility | Retrieval | SQL | Security | State management | Task decomposition | Test set | Test set development | Tool-Calling | Tracing | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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