- Design, develop, test, deploy, and operate production-quality software and backend services, primarily using Go.
- Architect AI agents and agent-based systems that use tools and APIs, maintain state and context, and execute multi-step workflows.
- Design durable workflows that checkpoint, resume, retry, and recover from partial failures or interruptions.
- Integrate multiple AI model providers, including routing, failover, rate-limit management, and health monitoring.
- Build safeguards such as structured-output validation, quality gates, evidence validation, and automated recovery.
- Develop testing strategies for non-deterministic AI behavior using fixtures, replayed interactions, regression suites, and evaluation harnesses.
- Develop observability capabilities including tracing, metrics, logging, evaluation data, and replayable execution histories.
- Design human-in-the-loop workflows for review, approval, intervention, and changes to workflow state.
- Build APIs, backend services, relational data models, job-processing infrastructure, and secure document-ingestion methods.
- Optimize systems for reliability, latency, throughput, scalability, output quality, and cost per execution.
SQLGoDistributed Systems