Agentic AI Analyst

Role Description

• Responsible for building production-ready backend services for agentic workflowcomponents aligned to solution architecture and platform standards.
• Implement solution designs by building Python services, worker processes, andreusable libraries following defined architecture, patterns, and standards.
• Develop agentic workflow components: tool connectors, orchestration steps, statemanagement modules, retrieval components, and approval/escalation flows.
• Build reliable LLM interaction layers: tool/function calling, schema-validatedstructured outputs, guardrails, safe tool execution boundaries, and fallbackbehaviors.
• Implement robust backend patterns: async execution, job queues,retries/idempotency, compensating actions, and failure isolation for long-runningworkflows.
• Deliver production readiness: logging/tracing, metrics, decision logs, run replaysupport, performance profiling, and cost/latency controls...