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# Senior Software Engineer, Intelligence

- **Company:** Flock Safety
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $170,000.0 - $200,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Databases, Continuous Integration, Information Engineering, Data Security, Python (Programming Language), PostgreSQL, Machine Learning, Online Analytical Processing, Redis, Search Technologies, Data Streaming, TypeScript, Web Services, Cloud Platform System, Large Language Models, Prompt Engineering, Backend, Core Data, Kubernetes, Production Code, Api Design, Data Pipelines, Docker, Microservices
- **Published:** July 31, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=038e58cebe38afcf

## About the Role

* 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.

## 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., * This isn't a front-end or UI-focused engineering position, your work centers strictly on backend microservices, database access patterns, API design, and LLM orchestration.
 * This isn't a greenfield prototype lab with loose operational standards, you will build production-grade, low-latency infrastructure capable of handling high-volume data streams safely.


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