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

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

- Proven experience with LLM/conversational AI or workflow orchestration

- Strong API security and integration background

- Robust 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