Senior AI Software Engineer, Python

Scorpion is the leading provider of technology and services helping local businesses thrive. The Senior AI Software Engineer, Python will be responsible for making Scorpion’s Conversational Intelligence Platform production-grade by building reliable, observable, and scalable infrastructure for real-time AI workloads.

Responsibilities:

• Own the reliability of the event-driven messaging layer, including backpressure management, idempotency, dead-letter handling, and retry strategies
• Build and operate the infrastructure that runs LLM orchestration workloads at scale
• Own the operational data layer for the CI runtime, including state management, session persistence, and real-time data access patterns
• Own observability for the CI platform, including structured logging, distributed tracing (OpenTelemetry), and error tracking (Sentry)
• Maintain and harden the interfaces between CI and downstream platforms, including contract testing, versioning, and failure handling
• Conduct code reviews and mentor team members on Python engineering practices and production readiness
• Own production support for CI infrastructure, including on-call responsibilities and incident response

Requirements:

• 5+ Years of Experience or Relevant Experience
• Developing production-grade Python services at scale
• Operating real-time or high-throughput infrastructure supporting AI/ML workloads
• Designing and operating distributed, event-driven systems in production environments
• Deep command of Python internals: async/await lifecycle, event loop mechanics, GIL implications for concurrency strategy, memory profiling
• Production experience with Pydantic, type systems, and structured data modeling in high-throughput services
• Strong opinions on code organization, error handling patterns, and testability in long-lived Python codebases
• Hands-on experience operating LLM inference infrastructure at scale
• Deep experience with NoSQL data modeling: partition strategy, consistency tradeoffs, query cost optimization, and hot-partition avoidance
• Experience with event-driven architecture in production: backpressure, idempotency, dead-letter handling, retry strategies
• Proficiency with observability tooling: distributed tracing (OpenTelemetry), structured logging, error tracking (Sentry)
• Experience with Azure cloud platform services
• Ability to negotiate technical boundaries with teams that own upstream and downstream services
• Clear, direct communication in design discussions, incident response, and code review