• Design the orchestration backend that manages complex LLM interactions. • Develop high-performance integration pipelines connecting our AI to Flock's massive data platform. • Build the agentic framework that allows Nightshift to "act" on behalf of investigators. • Solve the reliability and scaling challenges of deploying AI in high-stakes, real-time investigative workflows. • Partner with ML engineers on agentic workflows and platform teams to design robust APIs that ground AI in truth, ensuring our system remains performant as we process billions of data points daily. • Familiarize yourself with Flock’s investigative workflows and the massive data pipelines that power our platform. • Pair with ML (agentic systems), Data Engineering (investigative datasets), and Platform teams to understand the existing API landscape. • Complete your first push to production. Pick up initial sprint tickets focused on API integrations, backend bug fixes, or performance tuning for LLM streaming. • Implement the backend orchestration layer for LLM tool calling and multi-step reasoning. • Design and build the "connectors" that allow Night Shift to securely and efficiently query Flock’s core data services. • Stand up robust tracing and logging for the AI system to monitor agentic decision-making and reliability. • Own end-to-end backend features that connect the LLM to our internal APIs, ensuring low-latency responses for investigators. • Lead the development of a core Nightshift capability—like automated lead generation or cross-camera correlation—that demonstrably closes cases faster. • Establish best practices for testing and deploying AI agents within a microservices environment. • Influence the product direction by identifying how new backend capabilities or AI breakthroughs can solve untapped investigator pain points.