Job Description
Mandatory technical skills
Minimum
1
Professional Python development
5+ years
2
Designing and debugging stateful, multi-step systems — state machines, session/context management, workflow engines, or protocol implementations
3+ years, demonstrable
3
REST API integration including mTLS, OAuth2, JWT client assertions, certificate lifecycle, and secret management
3+ years
4
Automated testing: unit test design, mocking, and test strategy as a correctness discipline
3+ years
5
CI/CD pipeline construction — GitHub Actions, GitLab CI, Azure DevOps, or equivalent
2+ years
6
Git-based branching and environment promotion workflows
3+ years
7
Production debugging from logs, traces, and metrics without interactive debugger access
3+ years
8
Reading and working within an existing framework or SDK that must not be modified
Demonstrable
Core responsibilities
- Build and modify conversational flows across dialog, orchestration, and knowledge layers
- RAG / knowledge-retrieval tuning
- Own escalation logic: transfer conditions, routing destinations, context payload, and reason-code registration
- Experience with LLM-driven conversation: prompt behavior, guardrail design, and awareness that models generate content nobody authored
- Integrate backend systems through the established handler layer
- Author automated tests — unit tests plus platform conversation-level test cases — and maintain the regression suite
- Build and own CI/CD: validation, test execution, and gated promotion across environment tiers
- Own deployment and rollback; act as first responder for production incidents
- Independently diagnose and remediate defects to root cause, with a regression test accompanying every fix
- Own configuration and feature-flag governance
- Maintain design, test, and state documentation in alignment with running behavior
- Reconcile inbound platform changes that originate outside version control, classifying behavioral versus cosmetic impact