Software Engineer III, Fullstack/Investigative Agent

Flock Safety

7d•$140,000 - $165,000

About The Position

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.

Requirements

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

Nice To Haves

LLM evaluation tools (LangSmith, Langfuse)
vector search/RAG
microservices architecture
Terraform

Responsibilities

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
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
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
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)

Benefits

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.
Spring Health: Spring Health offers a variety of mental health benefits, including therapy, coaching, medication management, and digital tools, all tailored to each individual's needs.
Caregiver Support: We have partnered with Cariloop to provide our employees with caregiver support
Carta Tax Advisor: Employees receive 1:1 sessions with Equity Tax Advisors who can address individual grants, model tax scenarios, and answer general questions.
ERGs: We want all employees to thrive and feel like they belong at Flock. We offer three ERGs today - Women of Flock, Flock Proud, and Melanin Motion. If you are interested in talking to a representative from one of these, please let your recruiter know.
WFH Stipend: $150 per month to cover the costs of working from home.
Productivity Stipend: $300 per year to use on Audible, Calm, Masterclass, Duolingo, Grammarly and so much more.
Home Office Stipend: A one-time $750 to help you create your dream office.