Why This Job is Featured on The SaaS Jobs
This fullstack engineer role sits at a notable intersection in SaaS right now: operational software that is being reshaped by LLM-driven interfaces. The listing points to a productized conversational assistant embedded in an existing platform, which is increasingly how SaaS companies are delivering AI value beyond standalone chat tools. It also signals a mature environment where AI features must integrate with established APIs, data models, and real customer workflows.
From a SaaS career perspective, the work maps to durable product engineering problems that recur across modern platforms: building reliable UI patterns for conversational experiences, designing orchestration layers for model and tool interactions, and shipping integrations that connect AI to core data systems. Experience with streaming, observability, and quality practices for AI behavior translates well to other SaaS teams adopting agentic patterns, especially where trust and correctness matter.
This role is a strong fit for engineers who prefer end to end ownership across React and Node services, and who enjoy ambiguity where product shape is still being defined. It will suit professionals who want hands-on exposure to LLM integration tradeoffs and who are comfortable collaborating across ML, platform, and product disciplines in a remote setting.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Who is Flock?
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.
The Opportunity
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.
The Skillset
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
90 Days at Flock
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)
The Interview Process
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.
Salary & Equity
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.
The Perks
🌴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.
If an offer is extended and accepted, this position requires the ability to obtain and maintain Criminal Justice Information Services (CJIS) certification as a condition of employment. Applicants must meet all FBI CJIS Security Policy requirements, including a fingerprint-based background check.
Flock is an equal opportunity employer. We celebrate diverse backgrounds and thoughts and welcome everyone to apply for employment with us. We are committed to fostering an environment that is inclusive, transparent, and collaborative. Mutual respect is central to how Flock operates, and we believe the best solutions come from diverse perspectives, experiences, and skills. We embrace our differences and know that we are stronger working together.
If you need assistance or an accommodation due to a disability, please email us at recruiting@flocksafety.com. This information will be treated as confidential and used only to determine an appropriate accommodation for the interview process.
At Flock Safety, we compensate our employees fairly for their work. Base salary is determined by job-related experience, education/training, as well as market indicators. The range above is representative of base salary only and does not include equity, sales bonus plans (when applicable) and benefits. This range may be modified in the future. This job posting may span more than one career level.
Flock Safety is aware of fraudulent individuals and agencies falsely claiming to represent our company. All legitimate communication from Flock Safety will come from an email address ending in @flocksafety.com. We do not make job offers through messaging apps, social platforms, or unauthorized third parties, and we will never request payment or sensitive personal information during the hiring process. If you encounter suspicious outreach related to a Flock Safety role, please report it to recruiting@flocksafety.com
