Flock Safety 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.
We're hiring a Software Engineer to build Night Shift, a conversational AI assistant that helps investigators surface critical evidence and close cases faster. You'll design and implement the conversational interface, build the orchestration backend that manages LLM interactions and tool calling, and develop integration pipelines connecting our AI to Flock's existing data platform and APIs. This is a ground-floor opportunity where product thinking matters as much as technical execution: you'll shape chat experiences with complex context management, partner with platform teams to design new APIs or leverage existing ones, and solve the reliability challenges of deploying AI in high-stakes investigative workflows. You'll collaborate closely with ML engineers on prompt engineering and agentic workflows while maintaining a strong point of view on what makes a great user experience. If you've built LLM-powered products and thrive at the intersection of customer impact and technical depth, this role is for you.
Love for coding and continuous learning, especially in the rapidly evolving LLM space
Resourceful problem-solver mindset: excel in ambiguous situations and take initiative to define product direction
Strong TypeScript / Node / Express skills for web services and API design (REST, SSE, WebSockets for streaming)
Modern web framework expertise (React / TypeScript preferred), particularly for conversational UI and chat interfaces
Hands-on LLM experience: OpenAI/Anthropic/Gemini APIs, prompt engineering, streaming responses, and conversation context management
Familiarity with agentic patterns: function calling, tool use (MCP), and orchestrating multi-step workflows
API integration skills: consume existing APIs or design new ones to ground AI in investigative data
Database confidence: PostgreSQL and sophisticated SQL for data retrieval
Cloud infrastructure basics: Docker, Kubernetes (Helm), AWS services (S3, SQS, API Gateway)
Product-minded: translate user feedback into technical requirements and make pragmatic tradeoffs
Bonus points for: LLM evaluation tools (LangSmith, Langfuse), vector search/RAG, microservices architecture, or Terraform
The First 30 Days:
Onboard and Integrate:
Familiarize yourself with Flock's mission, investigative workflows, and how customers use our platform today
Pair with engineers across Cloud Software and ML teams to understand existing APIs, data models, and system architecture
Build relationships with key stakeholders to understand their capabilities and constraints. Meet with members of:
Machine Learning (agentic systems, model serving)
Data Engineering (investigative datasets, pipelines)
Platform teams (APIs, infrastructure)
Product and Design (customer needs, UX direction)
Ship Early and Learn:
Complete a first-day push to production
Pick up initial sprint tickets: bug fixes, small UX improvements, or API integrations
Participate in customer feedback sessions to understand investigator workflows and pain points
The First 60 Days:
Build the Foundation:
Deliver core conversational UI components and establish patterns for chat interfaces
Implement backend orchestration for LLM interactions and tool calling
Stand up observability for the AI system (logging, tracing, basic metrics)
Work with ML team to integrate agentic workflows and refine prompt strategies
Demonstrate Velocity:
Own end-to-end features that connect UI, backend orchestration, and data integrations
Collaborate with Product to rapidly iterate based on early user testing
Propose technical improvements to chat quality, performance, or reliability
90 Days & Beyond:
Drive Product Impact:
Lead development of a core Night Shift capability that demonstrably improves investigator efficiency
Represent the team in cross-functional initiatives, balancing zero-to-one experimentation with engineering best practices
Establish patterns for testing and quality in an evolving AI product
Shape the Direction:
Influence product roadmap through technical insights and customer feedback
Mentor team members on LLM integration patterns or full-stack best practices
Own a domain area (e.g., conversation management, data grounding, streaming architecture)
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 $140,000-$165,000 as well as stock options. Base salary is determined by job-related experience, education/training, as well as market indicators. Your recruiter will discuss this in-depth with you during our first chat.
🌴Flexible PTO: We seriously mean it, plus 11 company holidays.
⚕️Fully-paid health benefits plan for employees: including Medical, Dental, and Vision and an HSA match.
👪Family Leave: All employees receive 12 weeks of 100% paid parental leave. Birthing parents are eligible for an additional 6-8 weeks of physical recovery time.
🍼Fertility & Family Benefits: We have partnered with Maven, a complete digital health benefit for starting and raising a family. Flock will provide a $50,000-lifetime maximum benefit related to eligible adoption, surrogacy, or fertility expenses.
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