Senior Software Engineer, Flock Safety
Agentic Assistant
$170-190k
+ Stock options
Public safety operating system
Be an early applicant
Public safety operating system
1001+ employees
Be an early applicant
$170-190k
+ Stock options
1001+ employees
Company mission
To create safer, happier communities and cities by pre-emptively fighting crime.
Role
Who you are
- 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
What the job involves
- We're hiring a Senior 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
- 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)
Application 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
Our take
Public vehicle surveillance provides valuable insights to emergency services for the prevention of crime, but bringing information together to create leads is difficult. There's no standardised system for inter-city vehicle surveillance, and this makes it difficult for communities and law enforcement services to work together.
Flock Safety provides surveillance equipment that aims to improve the abilities of law enforcement and homeowner associations to communicate data with each other. The company focuses on vehicle surveillance, innovating on existing technology by using machine learning to categorise vehicles by color, license plate, state, and other data points.
Whilst automated surveillance equipment is used daily within federal police forces, Flock Safety builds technology systems that provide a means for smaller law enforcement agencies to quantify and share surveillance data easily. It's caught on too, with a funding round of $275 million awarded in 2025 that will be used to expand its manufacturing capabilities. lock Safety, a U.S. startup developing surveillance technology, has raised $275 million in new funding led by Andreessen Horowitz, as it invests in a manufacturing facility and expands into drone products, the company told Reuters. funding behind it, This data can then be automatically processed to help develop leads, a time-consuming process that would usually have to be completed manually.
Steph
Company Specialist at Welcome to the Jungle
Insights
40% employee growth in 12 months
Company
Funding (last 2 of 10 rounds)
Mar 2025
$275m
LATE VC
Mar 2024
$200m
SERIES G
Total funding: $857.8m
Company benefits
- 🌴Use what you need PTO: We seriously mean it, plus 11 company holidays and your birthday off!
- ⚕️Fully-paid health benefits plan for employees: including Medical, Dental, and Vision and an HSA match
- 👪Family Leave: We provide 16 weeks of 100% paid leave for primary caregivers and 12 weeks of 100% paid leave for secondary caregivers
- 🍼Fertility & Family Benefits: We have partnered with Maven, a complete digital health benefit for starting and raising a family. We will reimburse $10,000 a year for adoption, surrogacy, or infertility
- 🧠Mental Health: All employees receive an annual subscription to Headspace
- 💖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
- 💻WFH Stipend: $150 per month to cover the costs of working from home
- 📚L&D Stipend: $250 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
- 🏢Coworking Space: If you’re not local to our ATL HQ, we’ll provide $250 a month to get you set up with an All Access Membership to WeWork (or a local coworking space in your area)
- 🐾Pet Insurance: We’ve partnered with Pumpkin to provide insurance for our employee’s fur babies
Company HQ
Home Park, Atlanta, GA
Leadership
Garrett Langley
(Founder & CEO)They worked in Computer Services freelance for over 6 years before joining Firethorn in 2015, and Clutch Technologies in 2014. They left their position as President of Moment LLC to found Flock Safety in April 2017.
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