Core Responsibilities 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 environment-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/stateful orchestration

Escalation and routing logic API & Security REST APIs

OAuth 2.0

JWT / JWT Client Assertions mTLS

SSL/TLS certificates

Certificate lifecycle management

Secrets management

Secure API authentication Testing PyTest or equivalent

Unit testing

Mocking

Integration testing

API testing

Regression testing

Conversation/platform-level testing DevOps Git

GitHub Actions / GitLab CI / Azure DevOps

CI/CD pipeline development

Branching strategies

Environment promotion

Automated validation and deployment

Rollback Production & Observability Log analysis

Metrics

Distributed tracing

Production incident management

Root-cause analysis

Performance troubleshooting

Monitoring and observability Preferred Candidate Profile 10+ years overall IT/software engineering experience

5+ years of professional Python development

Solid hands-on experience building stateful, multi-step applications

Proven experience with LLM/conversational AI or workflow orchestration

Strong API security and integration background

Strong automated testing discipline

Hands-on CI/CD ownership

Experience owning production deployments and incident resolution

Ability to understand and extend an existing SDK/framework without modifying its core

Strong communication and documentation skills Skills: restapi,llm,python

📌 Senior Python / Conversational AI Engineer (Hyderabad)
🏢 Zorba AI
📍 Hyderabad