Staff AI Engineer | US | Remote
OR · Remote
... choice within security guidelines). We encourage pragmatic AI-assisted development paired with ... sequential chains, router/dispatcher, parallel fan-out), state management, and production ...
Staff AI Engineer | US | Remote
OR · Remote
... choice within security guidelines). We encourage pragmatic AI-assisted development paired with ... sequential chains, router/dispatcher, parallel fan-out), state management, and production ...
Senior AI Engineer | US | Remote
OR · Remote
$55.25 - $71.25/hr
... choice within security guidelines). We encourage pragmatic AI-assisted development paired with ... sequential chains, router/dispatcher, parallel fan-out), state management, and production ...
Senior AI Engineer | US | Remote
OR · Remote
$55.25 - $71.25/hr
... choice within security guidelines). We encourage pragmatic AI-assisted development paired with ... sequential chains, router/dispatcher, parallel fan-out), state management, and production ...
... choice within security guidelines). We encourage pragmatic AI-assisted development paired with ... sequential chains, router/dispatcher, parallel fan-out), state management, and production ...
... choice within security guidelines). We encourage pragmatic AI-assisted development paired with ... sequential chains, router/dispatcher, parallel fan-out), state management, and production ...
Remote Security Dispatcher information
What are some common challenges faced by remote security dispatchers, and how can they be managed effectively?
Remote security dispatchers often face challenges such as managing multiple incidents simultaneously, ensuring clear communication with field personnel, and navigating technical issues with dispatch software. To manage these effectively, strong organizational skills, familiarity with relevant technology platforms, and the ability to stay calm under pressure are essential. Many companies provide training and support resources, and dispatchers benefit from regular team check-ins to stay aligned and share best practices. Building rapport with security officers and maintaining open lines of communication also help streamline coordination and response times.
What is the difference between Remote Security Dispatcher vs Remote Security Operator?
| Aspect | Remote Security Dispatcher | Remote Security Operator |
|---|---|---|
| Credentials | Security certifications, dispatching experience | Security certifications, monitoring experience |
| Work Environment | Control centers, remote dispatching | Monitoring stations, remote surveillance |
| Industry Usage | Security firms, alarm companies | Security firms, alarm companies |
| Job Focus | Dispatching security personnel and emergency response | Monitoring security systems and alarms |
Remote Security Dispatchers primarily coordinate security personnel and emergency responses, while Remote Security Operators focus on monitoring security systems and alarms. Both roles require security certifications and are used within security firms and alarm companies, but their core responsibilities differ in dispatching versus monitoring tasks.
What is a Remote Security Dispatcher?
A Remote Security Dispatcher is a professional responsible for monitoring security systems, responding to alarms, and coordinating emergency responses from a remote location. They communicate with security guards, law enforcement, or emergency services to manage incidents such as break-ins, fires, or medical emergencies. Using advanced surveillance technology, they ensure the safety and security of people and property across multiple sites. Remote Security Dispatchers must remain alert, make quick decisions, and maintain detailed records of incidents. This role is crucial for organizations that require 24/7 security monitoring without on-site personnel.
What are the key skills and qualifications needed to thrive as a Remote Security Dispatcher, and why are they important?
To thrive as a Remote Security Dispatcher, you need excellent situational awareness, problem-solving skills, and typically a high school diploma or equivalent. Familiarity with computer-aided dispatch (CAD) systems, surveillance software, and emergency communication protocols is crucial. Strong communication, multitasking, and stress management abilities help you remain effective under pressure. These skills ensure timely, accurate coordination of security responses and maintain safety in dynamic or critical situations.
What are popular job titles related to Remote Security Dispatcher jobs in Oregon? For Remote Security Dispatcher jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Security Dispatcher jobs in Oregon look for? The top searched job categories for Remote Security Dispatcher jobs in Oregon are:
What cities in Oregon are hiring for Remote Security Dispatcher jobs? Cities in Oregon with the most Remote Security Dispatcher job openings:
Job description
This is a remote opportunity and we are looking for candidates from the U.S.
The Opportunity
Grafana Labs is seeking a Staff Engineer (AI & Automation) to own the AI agent infrastructure and automation platform that powers our Marketing Operations organization. You'll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You'll ship production systems that teams depend on daily.
This is a high-autonomy role where you own the technical direction. You'll identify the highest-leverage problems across Marketing, RevOps, and SDR teams, design the solutions, and ship them. You'll define the technical direction for the automation platform (data models, API contracts, shared libraries, reference architectures) and partner with Data Engineering, GTM Systems, and Field Operations to build scalable, self-service automation that eliminates manual work and drives operational efficiency.
What You'll Be Doing
Agentic Systems & AI Infrastructure
- Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation
- Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams
- Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs)
- Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management
- Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths
Systems Integration & Backend Services
- Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems (BigQuery, Slack, CRMs, email, calendars, analytics tools)
- Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal knowledge bases, customer data, and real-time business context
- Build serverless or containerized services (GCP Cloud Functions, Cloud Run) that scale with usage and integrate with Grafana's cloud infrastructure
Automation & Workflow Enablement
- Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to scope high-impact automation problems, identify bottlenecks, and build solutions with measurable business outcomes
- Design and deploy workflows using orchestration tools (n8n, Workato, or custom platforms) with CI/CD, testing, and production reliability standards
- Build systems designed for self-service with documentation, playbooks, and enablement materials that let partner teams operate independently
We invest heavily in developer productivity. You'll have access to AI coding assistants (Claude Code, Gemini CLI, OpenAI Codex, and others of your choice within security guidelines). We encourage pragmatic AI-assisted development paired with strong code review and quality standards.
What Makes You a Great Fit
- 8+ years of software engineering experience with depth in backend development, systems integration, or data/analytics engineering
- 2+ years hands-on experience applying LLMs/AI to production workflows, not just prototypes
- Strong proficiency in Python and JavaScript/Node.js with Git-based workflows, code review practices, and testing discipline
- Hands-on experience with LLM frameworks and patterns including prompt engineering, RAG, function calling/tool use, structured output parsing, and evaluation
- Experience building and operating multi-agent systems at scale including agent decomposition, orchestration patterns (sequential chains, router/dispatcher, parallel fan-out), state management, and production monitoring
- You diagnose business problems before writing code. You think in workflows and outcomes, not just functions.
- Deep familiarity with Google Cloud Platform, BigQuery, and serverless/containerized services (Cloud Functions, Cloud Run)
- Understanding of LLM failure modes and production mitigations including confidence thresholds, fallback logic, human escalation, and cost/latency management
- Proven ability to identify high-leverage problems, push back on low-impact requests, and deliver end-to-end with minimal direction
- Fluent with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code). You use AI to build AI systems
- Clear technical communicator who can explain complex systems in simple terms to both engineers and business stakeholders
Bonus Points
- Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, Qdrant, pgvector)
- Familiarity with marketing or sales platforms (Salesforce, Customer.io, HubSpot, Marketo, Outreach)
- Experience with frontend frameworks (React, Slack Block Kit) for building user-facing AI tool interfaces
- Observability tooling for AI systems (LangSmith, Weights & Biases, custom evaluation frameworks)
- Experience with workflow orchestration platforms (n8n, Temporal, Prefect, Airflow)
- Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to data sources
- Prior work automating marketing, sales, or customer success workflows in a B2B SaaS environment
- Active in open-source communities. Grafana is built on OSS and we value engineers who share that DNA
In the United States, the base compensation range for this role is USD $174,986 - USD $209,983. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes-RSUs help us stay aligned and invested as we scale globally.
About Grafana Labs
Sourced by ZipRecruiter
Industry
Software development
Company size
201 - 500 Employees
Headquarters location
New York, NY, US
Year founded
2014