Senior Python / Conversational AI Engineer

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


• 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