Senior Software Engineer, Investigative Agent

Senior Software Engineer

We're hiring a Senior Software Engineer to drive the architectural evolution of Night shift, a conversational agent that helps investigators surface critical evidence and close cases faster. You'll lead the effort to build reliable backend systems that connect a conversational interface to a large, complex data platform.

You will design the orchestration backend that manages complex LLM interactions, develop high-performance integration pipelines connecting Night shift to Flock's massive data platform, and build the agentic framework that allows Night shift to "act" on behalf of investigators. This is a ground-floor opportunity to solve the reliability and scaling challenges of real-time investigative workflows. You'll partner with ML engineers on agentic workflows and platform teams to design robust APIs that keep the system accurate and performant as we process billions of data points daily.

• Love for writing clean, performant code and a track record of building production-grade backend systems.
• Strong proficiency in Python or Type Script (Node) for building scalable web services.
• 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.
• Strong database confidence with PostgreSQL, OLAP Databases, and Redis. You know how to use the right tool for the job to ensure fast retrieval.
• A strong product instinct and a track record of shaping what you build based on direct customer feedback.
• Experience with microservice-oriented architecture and designing for scale (we handle 1B+ images daily).
• Experience with agentic patterns, including function calling, tool use (MCP), and orchestrating multi-step LLM workflows.
• Experience with OpenAI/Anthropic/Gemini APIs, prompt engineering, and managing complex conversation state/context.
• Proven ability to bridge unstructured LLM outputs and structured internal services, with robust error handling and schema validation.
• 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 (Lang Smith/Langfuse), vector search/RAG, or infrastructure-as-code (Terraform).

The First 30 Days:

• 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.

The First 60 Days:

• 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.

90 Days & Beyond:

• Lead the development of a core Night shift 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.

We want our interview process to be a true reflection of our culture: transparent and collaborative. Throughout the interview process, your recruiter will guide you through the next steps and ensure you feel prepared every step of the way. To check out our interview stages and how you should prepare visit experiences on our careers page.

In this role, you'll receive a starting salary of $170,000-$200,000 as well as stock options. Base salary is determined by job-related experience, education/training, as well…