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
- Solid 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

📌 Senior Python / Conversational AI Engineer (Maharashtra)
🏢 Zorba Consulting India
📍 Maharashtra