AI Engineer, Agent Analytics & Optimization (DPI)
Tasks
- Build agentic workflows orchestration
- Build internal SDKs and reusable patterns
- Create tracing for agent behavior auditability
- Deploy and harden production agent systems
- Design MCP servers exposing data as tools
- Develop API and tool interfaces
- Implement monitoring and production observability
- Integrate AI connectors with external systems
- Partner with product and customers to ship software
- Tune latency cost and reliability
- Use evals to validate agent behavior
Perks/Benefits
Skills/Tech-stack
API Design | AWS | Access Control | Agent Orchestration | Agent coordination | Asynchronous programming | Authentication | Authorization | Cloud deployment | Containerization | Cost Optimization | Evals | Evaluation | GCP | LLM Agents | Language Models | Large Language Models | Latency optimization | Multi-Agent | Multi-Agent Coordination | Observability | OpenTelemetry | Prompt Chaining | Python | Structured outputs | Tool use | Tracing
Education
N/A
Roles
Regions
Countries
States
Cities
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