Software Engineer (Investigative Agent)

Flock Safety
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 200K

Job location

Remote

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Software Bug Management
Databases
Information Engineering
Data Security
Python
PostgreSQL
Online Analytical Processing
Node.js
Performance Tuning
Redis
Search Technologies
TypeScript
Web Services
Data Logging
Freeform SQL
Large Language Models
Prompt Engineering
Backend
Build Management
Core Data
Kubernetes
Real Time Data
Terraform
Data Pipelines
Api Management
Docker
Microservices

Job description

Kubernetes Primary TypeScript Terraform Redis +9 Apply, * We're hiring a Senior Backend Engineer to lead the architectural evolution of Nightshift, a conversational AI assistant that helps investigators surface critical evidence and close cases faster

  • This isn't just about wrapping an LLM; it's about building the "brains" of an investigative agent
  • You will design the orchestration backend that manages complex LLM interactions, develop high-performance integration pipelines connecting our AI to Flock's massive data platform, and build the agentic framework that allows Nightshift to "act" on behalf of investigators
  • This is a ground-floor opportunity to solve the reliability and scaling challenges of deploying AI in high-stakes, real-time investigative workflows
  • You'll partner with ML engineers on agentic workflows and platform teams to design robust APIs that ground AI in truth, ensuring our system remains performant as we process billions of data points daily
  • The First 30 Days:
  • Familiarize yourself with Flock's investigative workflows and the massive data pipelines that power our platform
  • Pair with ML (agentic systems), Data Engineering (investigative datasets), and Platform teams to understand the existing API landscape
  • Complete your first push to production. Pick up initial sprint tickets focused on API integrations, backend bug fixes, or performance tuning for LLM streaming
  • The First 60 Days:
  • Implement the backend orchestration layer for LLM tool calling and multi-step reasoning
  • Design and build the "connectors" that allow Night Shift to securely and efficiently query Flock's core data services
  • Stand up robust tracing and logging for the AI system to monitor agentic decision-making and reliability
  • Own end-to-end backend features that connect the LLM to our internal APIs, ensuring low-latency responses for investigators
  • 90 Days & Beyond:
  • Lead the development of a core Nightshift capability-like automated lead generation or cross-camera correlation-that demonstrably closes cases faster
  • Establish best practices for testing and deploying AI agents within a microservices environment
  • Influence the product direction by identifying how new backend capabilities or AI breakthroughs can solve untapped investigator pain points

Requirements

  • Love for writing clean, performant code and a track record of building production-grade backend systems
  • Deep understanding of OpenAI/Anthropic/Gemini APIs, prompt engineering, and managing complex conversation state/context
  • Experience with LLM evaluation (LangSmith/Langfuse), vector search/RAG, or infrastructure-as-code (Terraform)
  • Strong proficiency in Python or Go and TypeScript (Node) for building scalable web services
  • Proven ability to build seamless API integrations with LLMs, managing the bridge between unstructured model outputs and structured internal services through robust error handling and schema validation
  • You thrive in "zero-to-one" environments, taking ambiguous problems and turning them into technical roadmaps
  • Experience with agentic patterns, including function calling, tool use (MCP), and orchestrating multi-step LLM workflows
  • Experience with microservice-oriented architecture and designing for scale (we handle 1B+ images daily)
  • Ability to write and optimize complex SQL queries and data access patterns to ensure LLMs are grounded in real-time data without sacrificing latency or system performance
  • Strong database confidence with PostgreSQL, OLAP Databases, and Redis. You know how to use the right tool for the job to ensure fast retrieval
  • Proficient with AWS services, Kubernetes (EKS), Docker, and CI/CD build tooling

Benefits & conditions

  • Use what you need PTO: We seriously mean it, plus 11 company holidays and your birthday off!
  • ️Fully-paid health benefits plan for employees: including Medical, Dental, and Vision and an HSA match
  • Family Leave: We provide 16 weeks of 100% paid leave for primary caregivers and 12 weeks of 100% paid leave for secondary caregivers
  • Carta Tax Advisor: Employees receive 1:1 sessions with Equity Tax Advisors who can address individual grants, model tax scenarios, and answer general questions
  • Fertility & Family Benefits: We have partnered with Maven, a complete digital health benefit for starting and raising a family. We will reimburse $10,000 a year for adoption, surrogacy, or infertility
  • Home Office Stipend: A one-time $750 to help you create your dream office
  • Mental Health: All employees receive an annual subscription to Headspace
  • Coworking Space: If you're not local to our ATL HQ, we'll provide $250 a month to get you set up with an All Access Membership to WeWork (or a local coworking space in your area)
  • WFH Stipend: $150 per month to cover the costs of working from home
  • Pet Insurance: We've partnered with Pumpkin to provide insurance for our employee's fur babies
  • Caregiver Support: We have partnered with Cariloop to provide our employees with caregiver support
  • L&D Stipend: $250 per year to use on Audible, Calm, Masterclass, Duolingo, Grammarly and so much more

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