Build and modify conversational flows across dialog, orchestration and knowledge layers.
Design and optimize stateful, multi-step workflows, including session and context management.
Perform RAG and knowledge-retrieval tuning to improve response quality and relevance.
Design and maintain escalation logic, including transfer conditions, routing destinations, context payloads and reason-code registration.
Work with LLM-driven conversational systems, including prompt behavior, guardrails and model-generated content.
Integrate backend systems through established handler/API layers.
Develop secure REST API integrations using appropriate authentication and certificate-management mechanisms.
Author and maintain automated unit tests, mocks and platform-level conversational test cases.
Maintain comprehensive regression test suites.
Build and own CI/CD pipelines covering validation, automated testing and gated promotion across environments.
Follow Git-based branching, release and workplace-promotion strategies.
Own application deployment and rollback procedures.
Act as a first responder for production incidents.
Diagnose production issues independently using logs, traces and metrics.
Identify root cause and implement permanent fixes with corresponding regression tests.
Manage configuration and feature-flag governance.
Maintain design, state, test and implementation documentation aligned with actual system behavior.
Analyze and reconcile platform changes originating outside version control and determine whether the impact is behavioral or cosmetic.
Collaborate with engineering, product, QA, security and infrastructure teams.
Required Technical Expertise
Programming
Python
REST APIs
JSON
API integrations
Object-oriented programming
Asynchronous/event-driven programming
Conversational AI / GenAI
Conversational workflow development
LLM-based applications
Prompt engineering
Guardrails
RAG / knowledge retrieval
Context and session management
Multi-step
📌 Senior Python (Hyderabad)
🏢 Zorba AI
📍 Hyderabad
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