Software Engineer III – Fullstack, Investigative Agent

Flock Safety

Developing a conversational AI assistant for investigators at Flock. Designing interfaces, building orchestration backends, and integrating with existing platforms.

Posted 4/29/2026full-timeRemote • California, Colorado, Illinois, Massachusetts, New York, Texas • 🇺🇸 United StatesMid-LevelSenior💰 $140,000 - $165,000 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudDockerKubernetesMicroservicesNode.jsPostgresReactSQLTerraformTypeScript

About the role

Key responsibilities & impact

Build Night Shift, a conversational AI assistant that helps investigators surface critical evidence and close cases faster.
Design and implement the conversational interface.
Build the orchestration backend that manages LLM interactions and tool calling.
Develop integration pipelines connecting our AI to Flock's existing data platform and APIs.
Shape chat experiences with complex context management.
Partner with platform teams to design new APIs or leverage existing ones.
Solve the reliability challenges of deploying AI in high-stakes investigative workflows.
Collaborate with ML engineers on prompt engineering and agentic workflows while maintaining a strong point of view on what makes a great user experience.

Requirements

What you’ll need

Love for coding and continuous learning, especially in the rapidly evolving LLM space
Resourceful problem-solver mindset: excel in ambiguous situations and take initiative to define product direction
Strong TypeScript / Node / Express skills for web services and API design (REST, SSE, WebSockets for streaming)
Modern web framework expertise (React / TypeScript preferred), particularly for conversational UI and chat interfaces
Hands-on LLM experience: OpenAI/Anthropic/Gemini APIs, prompt engineering, streaming responses, and conversation context management
Familiarity with agentic patterns: function calling, tool use (MCP), and orchestrating multi-step workflows
API integration skills: consume existing APIs or design new ones to ground AI in investigative data
Database confidence: PostgreSQL and sophisticated SQL for data retrieval
Cloud infrastructure basics: Docker, Kubernetes (Helm), AWS services (S3, SQS, API Gateway)
Product-minded: translate user feedback into technical requirements and make pragmatic tradeoffs
Bonus points for: LLM evaluation tools (LangSmith, Langfuse), vector search/RAG, microservices architecture, or Terraform.

Benefits

Comp & 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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

TypeScriptNodeExpressReactLLM experienceprompt engineeringPostgreSQLSQLDockerKubernetes

Soft Skills

problem-solvinginitiativeuser experience focusproduct-mindedcollaboration