About Us

Scorpion is the leading provider of technology and services helping local businesses thrive. We do this by helping customers understand local market dynamics, make the most of their marketing, and deliver experiences their customers will love. We offer tools to know what’s going on with marketing, competitors, and customers. We offer a unique blend of AI support and teams of real human people with local expertise committed to customer success. At Scorpion, we are ready to do whatever it takes to help our clients reach their goals. Our technology and personalized tools bring everything together to help local businesses easily understand their unique business, market, and customer needs. We put SEO, Reviews, Advertising, Email Marketing, Chat and Messaging, Social Media, Website, Lead Management, Appointment Scheduling, and more to work for local businesses. We’re a technology-led service with a human touch.

About the Role

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, including LLM orchestration, streaming responses, and event-driven messaging across multiple communication channels.

This role owns the runtime reliability of systems that process LLM inference pipelines, manage backpressure across async workloads, and maintain clean service boundaries with downstream teams. Operating within an established architecture, the Senior AI Software Engineer, Python is responsible for the operational excellence required to make the platform production-ready.

What Your Success Will Look Like

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.

Who You Are And What You Bring

Experience
- 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.

Hard / Technical Skills
- 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 clou

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