Senior Software Engineer, Backend/Investigative Agent

Flock Safety is the leading safety technology platform focused on proactive crime prevention and security. They are seeking a Senior Backend Engineer to lead the architectural evolution of Nightshift, a conversational AI assistant, by designing the orchestration backend and developing high-performance integration pipelines.

Responsibilities:

• 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
• 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

Requirements:

• Love for writing clean, performant code and a track record of building production-grade backend systems
• Strong proficiency in Python and TypeScript (Node) for building scalable web services, open to Go as well
• Experience with agentic patterns, including function calling, tool use (MCP), and orchestrating multi-step LLM workflows
• Ability to write and optimize complex SQL queries and data access patterns to ensure LLMs are grounded in real-time data without sacrificing latency or system performance
• Deep understanding of OpenAI/Anthropic/Gemini APIs, prompt engineering, and managing complex conversation state/context
• Proven ability to build seamless API integrations with LLMs, managing the bridge between unstructured model outputs and structured internal services through robust error handling and schema validation
• Strong database confidence with PostgreSQL, OLAP Databases, and Redis. You know how to use the right tool for the job to ensure fast retrieval
• Experience with microservice-oriented architecture and designing for scale (we handle 1B+ images daily)
• Proficient with AWS services, Kubernetes (EKS), Docker, and CI/CD build tooling
• You thrive in 'zero-to-one' environments, taking ambiguous problems and turning them into technical roadmaps
• Experience with LLM evaluation (LangSmith/Langfuse), vector search/RAG, or infrastructure-as-code (Terraform)
• Ability to obtain and maintain Criminal Justice Information Services (CJIS) certification as a condition of employment