Senior Software Engineer, Intelligence

Job not on LinkedIn

🔥 4 hours ago

🇺🇸 United States – Remote

💵 $170k - $200k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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Flock Safety

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2017

🔐 Security

💰 $150M Series E on 2022-02

Security • Public Safety • Technology

Flock Safety is a company that focuses on providing advanced technological solutions for public and private safety. They utilize tools such as license plate recognition (LPR), video cameras, audio detection, and automated drones to enhance security for neighborhoods, businesses, schools, and governmental organizations. Their products are designed to deter crime and assist law enforcement in generating leads through evidence collection. Flock Safety operates on a subscription service model, offering maintenance-free, easy-to-deploy infrastructure to improve community safety. Trusted by over 5,000 communities, Flock Safety aims to create safer environments while maintaining transparency and privacy.

📋 Description

• Lead the architectural evolution and backend execution for Flock's investigative workflows. • Design and deploy high-performance orchestration backends that manage complex LLM tool-calling, function execution, and multi-step reasoning workflows. • Engineer high-throughput integration pipelines and secure connectors linking conversational interfaces directly to core data platform microservices. • Partner with Machine Learning and Data Engineering teams to bridge unstructured LLM outputs with structured internal APIs, maintaining strict schema validation and error handling.

🎯 Requirements

• Demonstrated capability writing performant production code in Python or TypeScript to build scalable backend web services and microservices. • Deep database proficiency with PostgreSQL, OLAP databases, and Redis to optimize complex data access patterns and real-time retrieval without sacrificing latency. • Practical experience implementing agentic workflows, function calling, Model Context Protocol tools, and prompt engineering with major LLM APIs. • Strong background in cloud-native infrastructure, including hands-on experience with AWS, Kubernetes, Docker, and CI/CD pipelines. • Demonstrated capability taking ambiguous technical problems in zero-to-one product spaces and translating them into clear architectural roadmaps. • Experience with LLM evaluation frameworks, vector search, or infrastructure-as-code is a plus.

🏖️ Benefits

• Flock Stock Options