Flock Safety

7 months ago

Senior Software Engineer, Investigative Agent

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Senior Software Engineer to build Night Shift, a conversational AI assistant for investigators. Design and implement the conversational UI, create the orchestration backend for LLM interactions and tool calling, and develop data/API integration pipelines. Collaborate with ML and platform teams to optimize prompts, APIs, and reliability, delivering high-quality user experiences in a security-focused investigative workflow.

Location: United States, Austin, Boston, Chicago, San Francisco, Los Angeles, Denver

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Build Night Shift conversational UI and backend orchestration for LLM interactions and tool calling
•Develop integration pipelines connecting AI to data platform and APIs
•Collaborate with ML engineers on prompt engineering and agentic workflows
•Own end-to-end features linking UI, backend orchestration, and data integrations
•Establish observability for the AI system (logging, tracing, metrics)

Pay and Benefits

Salary: USD 170,000 - 190,000 annually

Perks:Health InsuranceParental LeaveRemote WorkHome OfficeProductivity Stipend

Key Requirements

•Strong TypeScript / Node / Express skills for web services and API design (REST, SSE, WebSockets for streaming)
•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
•Database confidence: PostgreSQL and sophisticated SQL for data retrieval
•Cloud infrastructure basics: Docker, Kubernetes (Helm), AWS services (S3, SQS, API Gateway)

Experience:LLMConversational AIInvestigative workflows

Skills:Problem-solvingCommunicationCollaborationOwnershipAbility to translate user feedback into technical requirements

Languages:English

Tech Stack:TypeScriptNodeExpressReactPostgreSQLSQLDockerKubernetesHelmAWSS3SQSAPIGatewayOpenAIAnthropicGeminiPrompt engineeringLLMConversational UI

Company Brief

Flock Safety

Builds automated license-plate recognition cameras, AI video, gunshot-detection and drone systems plus investigative software to help law enforcement, cities, businesses and neighborhoods prevent and solve crime.

Industry: Surveillance & Security Hardware

Company Size: Enterprise (1,001+ employees)

Revenue: USD 250M to 500M

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: Atlanta, United States

Founded: 2017

Glassdoor: 3.5

Website LinkedIn Glassdoor

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Flock Safety

7 months ago

Senior Software Engineer, Investigative Agent

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: United States, Austin, Boston, Chicago, San Francisco, Los Angeles, Denver

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Build Night Shift conversational UI and backend orchestration for LLM interactions and tool calling
•Develop integration pipelines connecting AI to data platform and APIs
•Collaborate with ML engineers on prompt engineering and agentic workflows
•Own end-to-end features linking UI, backend orchestration, and data integrations
•Establish observability for the AI system (logging, tracing, metrics)

Pay and Benefits

Salary: USD 170,000 - 190,000 annually

Perks:Health InsuranceParental LeaveRemote WorkHome OfficeProductivity Stipend

Key Requirements

•Strong TypeScript / Node / Express skills for web services and API design (REST, SSE, WebSockets for streaming)
•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
•Database confidence: PostgreSQL and sophisticated SQL for data retrieval
•Cloud infrastructure basics: Docker, Kubernetes (Helm), AWS services (S3, SQS, API Gateway)

Experience:LLMConversational AIInvestigative workflows

Skills:Problem-solvingCommunicationCollaborationOwnershipAbility to translate user feedback into technical requirements

Languages:English

Tech Stack:TypeScriptNodeExpressReactPostgreSQLSQLDockerKubernetesHelmAWSS3SQSAPIGatewayOpenAIAnthropicGeminiPrompt engineeringLLMConversational UI

Company Brief

Flock Safety

Industry: Surveillance & Security Hardware

Company Size: Enterprise (1,001+ employees)

Revenue: USD 250M to 500M

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: Atlanta, United States

Founded: 2017

Glassdoor: 3.5

Website LinkedIn Glassdoor