Senior Software Engineer, Backend/Investigative Agent

WHO IS FLOCK?

Flock is the leading safety technology platform, helping communities thrive by taking a proactive approach to crime prevention and security. Our hardware and software suite connects cities, law enforcement, businesses, schools, and neighborhoods in a nationwide public-private safety network. Trusted by over 5,000 communities, 4,500 law enforcement agencies, and 1,000 businesses, Flock delivers real-time intelligence while prioritizing privacy and responsible innovation.

We’re a high-performance, low-ego team driven by urgency, collaboration, and bold thinking. Working at Flock means tackling big challenges, moving fast, and continuously improving. It’s intense but deeply rewarding for those who want to make an impact.

With nearly $700M in venture funding and a $7.5B valuation, we’re scaling intentionally and seeking top talent to help build the impossible. If you value teamwork, ownership, and solving tough problems, Flock could be the place for you.

THE OPPORTUNITY

We're hiring a Senior Backend Engineer to lead the architectural evolution of Nightshift, a conversational AI assistant that helps investigators surface critical evidence and close cases faster. This isn't just about wrapping an LLM; it’s about building the "brains" of an investigative agent.

You will design the orchestration backend that manages complex LLM interactions, develop high-performance integration pipelines connecting our AI to Flock's massive data platform, and build the agentic framework that allows Nightshift to "act" on behalf of investigators. This is a ground-floor opportunity to solve the reliability and scaling challenges of deploying AI in high-stakes, real-time investigative workflows. You’ll 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.

THE SKILLSET

- Love for writing clean, performant code and a track record ...