Job Overview
Location
Remote - USA
Job Type
Full-time
Category
Software Engineering
Date Posted
June 13, 2026
Full Job Description
đź“‹ Description
- • Build and ship production-grade AI-powered investigative agents as part of Nightshift, a conversational AI system used by law enforcement to surface evidence, reason across complex data, and close cases faster.
- • Own end-to-end development of backend systems that enable AI products to operate reliably on Flock’s large-scale data platform, ensuring scalability, safety, and performance.
- • Improve agent reliability through rigorous testing, evaluation frameworks, and observability tools like Langfuse, identifying and fixing recurring failure patterns in real-world use cases.
- • Design and implement agentic workflows using tools such as LangChain, CrewAI, OpenAI SDK, or Claude Agents SDK to enhance decision-making capabilities of AI agents in high-stakes investigative environments.
- • Collaborate with a small, senior engineering team that blends application development and ML testing expertise to accelerate the development of AI-driven customer experiences.
- • Architect and contribute to reusable AI platform capabilities that other product teams at Flock can leverage to build their own AI-powered features.
- • Translate real-world investigative workflows from law enforcement customers into technical requirements and engineering direction, serving as a credible technical voice between stakeholders and engineers.
- • Drive architectural improvements across teams, influencing design decisions, conducting design reviews, and mentoring engineers through pairing, PR reviews, and technical guidance.
- • Build infrastructure to enable faster iteration cycles for AI agents, including systems for reproducibility, evaluation, debugging, and safe deployment of behavioral changes.
- • Immerse in customer data including call transcripts, chat logs, production traces, and support feedback to deeply understand where the agent succeeds and fails, using insights to guide technical priorities.
- • Ship incremental production improvements within the first 30 days, followed by ownership of a meaningful architectural area by day 90.
- • Contribute to the creation of patterns, libraries, and workflows that standardize AI development across Flock and reduce duplication of effort across product teams.
- • Maintain a strong product and customer mindset, balancing technical excellence with real-world usability and impact in criminal justice contexts.
- • Work in a fast-paced, high-accountability startup environment where ambiguity is common and ownership of high-impact problems is expected.
- • Ensure all systems comply with FBI Criminal Justice Information Services (CJIS) Security Policy requirements, including handling sensitive law enforcement data securely.
🎯 Requirements
- • Strong backend/software engineering fundamentals with experience shipping production code at scale
- • Proven experience with LLMs, AI systems, and agentic workflows in production environments
- • Familiarity with AI tooling such as LangChain, CrewAI, OpenAI SDK, or Claude Agents SDK
- • Experience with cloud infrastructure, databases, and distributed backend systems
- • Strong collaboration, ownership, and communication skills in cross-functional settings
- • Comfort working in ambiguity and startup-style environments with high expectations for impact
🏖️ Benefits
- • Flexible PTO plus 11 company holidays
- • Fully-paid medical, dental, and vision insurance with HSA match
- • 12 weeks of 100% paid parental leave, plus 6–8 additional weeks for birthing parents
- • $50,000 lifetime maximum benefit for adoption, surrogacy, or fertility expenses via Maven
- • $150/month WFH stipend, $750 one-time home office stipend, and $300/year productivity stipend
- • Access to Spring Health for personalized mental health support and Cariloop for caregiver assistance
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Flock Safety Inc.
Flock Safety provides cloud-based automated license plate recognition and video analytics for law enforcement, private communities, and businesses. Its solar-powered cameras capture vehicle details, detect crimes such as theft and violent offenses, and generate evidence packages accessible via a web platform. The company emphasizes privacy controls, encrypted data handling, and configurable retention policies. Deployed across thousands of U.S. neighborhoods and agencies, the system integrates with existing public safety workflows to accelerate investigations, reduce response times, and improve crime clearance rates without adding patrol resources.
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