Senior Software Engineer

Posted 4mo ago

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Drive the architectural evolution of Nightshift
Build reliable backend systems connecting a conversational interface to a large, complex data platform
Design the orchestration backend for complex LLM interactions
Develop high-performance integration pipelines connecting Nightshift to Flock's massive data platform
Build the agentic framework for Nightshift to act on behalf of investigators
Solve reliability and scaling challenges of real-time investigative workflows
Partner with ML engineers on agentic workflows
Partner with platform teams to design robust APIs
Complete your first push to production
Pick up initial sprint tickets focused on API integrations, backend bug fixes, or performance tuning for LLM streaming
Implement the backend orchestration layer for LLM tool calling and multi-step reasoning
Design and build connectors for Night Shift to query Flock’s core data services
Stand up robust tracing and logging for the AI system
Own end-to-end backend features connecting the LLM to internal APIs
Lead the development of a core Nightshift capability
Establish best practices for testing and deploying AI agents
Influence the product direction by identifying how new backend capabilities or AI breakthroughs can solve untapped investigator pain points

Love for writing clean, performant code
Track record of building production-grade backend systems
Strong proficiency in Python or TypeScript (Node) for building scalable web services
Ability to write and optimize complex SQL queries and data access patterns
Strong database confidence with PostgreSQL, OLAP Databases, and Redis
A strong product instinct
Track record of shaping what you build based on direct customer feedback
Experience with microservice-oriented architecture and designing for scale
Experience with agentic patterns, including function calling, tool use (MCP), and orchestrating multi-step LLM workflows
Experience with OpenAI/Anthropic/Gemini APIs, prompt engineering, and managing complex conversation state/context
Proven ability to bridge unstructured LLM outputs and structured internal services
Proficient with AWS services, Kubernetes (EKS), Docker, and CI/CD build tooling
Thrive in "zero-to-one" environments
Experience with LLM evaluation (LangSmith/Langfuse), vector search/RAG, or infrastructure-as-code (Terraform)

Ability to obtain and maintain Criminal Justice Information Services (CJIS) certification
Fingerprint-based background check

Skills