Senior Software Engineer, Investigative Agent
Role details
Job location
Tech stack
Job description
- 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, Back End bug fixes, or performance tuning for LLM streaming.
The First 60 Days:
- Implement the Back End 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 Back End 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 Back End capabilities or AI breakthroughs can solve untapped investigator pain points.
The Interview Process
We want our interview process to be a true reflection of our culture: transparent and collaborative. Throughout the interview process, your recruiter will guide you through the next steps and ensure you feel prepared every step of the way. To check out our interview stages and how you should prepare: visit experiences on our careers page. Salary & Equity
Requirements
- Love for writing clean, performant code and a track record of building production-grade Back End 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 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.
- A strong product instinct and a track record of shaping what you build based on direct customer feedback.
- Experience with microservice-oriented architecture and designing for scale (we handle 1B+ images daily).
- 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, with robust error handling and schema validation.
- Proficient with AWS services, Kubernetes (EKS), Docker, and CI/CD build tooling.
- You thrive in "zero-to-one" environments, taking ambiguous problems and turning them into technical roadmaps.
- Experience with LLM evaluation (LangSmith/Langfuse), vector search/RAG, or infrastructure-as-code (Terraform)., If an offer is extended and accepted, this position requires the ability to obtain and maintain Criminal Justice Information Services (CJIS) certification as a condition of employment. Applicants must meet all FBI CJIS Security Policy requirements, including a fingerprint-based background check.
Benefits & conditions
In this role, you'll receive a starting salary of $170,000-$200,000 as well as 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. The Perks
Flexible PTO: We seriously mean it, plus 11 company holidays.
Fully-paid health benefits plan for employees: including Medical, Dental, and Vision and an HSA match.
Family Leave: All employees receive 12 weeks of 100% paid parental leave. Birthing parents are eligible for an additional 6-8 weeks of physical recovery time.
Fertility & Family Benefits: We have partnered with Maven, a complete digital health benefit for starting and raising a family. Flock will provide a $50,000-lifetime maximum benefit related to eligible adoption, surrogacy, or fertility expenses.
Spring Health: Spring Health offers a variety of mental health benefits, including therapy, coaching, medication management, and digital tools, all tailored to each individual's needs.
Caregiver Support: We have partnered with Cariloop to provide our employees with caregiver support.
Carta Tax Advisor: Employees receive 1:1 sessions with Equity Tax Advisors who can address individual grants, model tax scenarios, and answer general questions.
ERGs: We want all employees to thrive and feel like they belong at Flock. We offer three ERGs today - Women of Flock, Flock Proud, and Melanin Motion. If you are interested in talking to a representative from one of these, please let your recruiter know.
WFH Stipend: $150 per month to cover the costs of working from home.
Productivity Stipend: $300 per year to use on Audible, Calm, Masterclass, Duolingo, Grammarly and so much more.
Home Office Stipend: A one-time $750 to help you create your dream office.