The ProblemAs Flock scales its investigative platform, building capabilities that directly accelerate how investigators surface critical evidence is essential to helping agencies resolve cases faster. You will design reliable backend systems, build agentic integration frameworks, and ensure our AI tools remain accurate, performant, and grounded in real-time data.
What You'll Own- 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.
What This Role is Not- 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.
What You Bring- 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.
CompensationIn this role, you'll receive a starting salary between $170,000 and $200,000 as well as Flock 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.
Some problems get solved faster in the same room, so we prioritize candidates in Atlanta and Boston. Hub-based roles mean real in-person time with your coworkers. Remote roles exist, and when a posting is open to remote work, it says so.
