Job description

As a key technical leader, you will own the architecture and delivery of the high-availability, low-latency AI platform that powers intelligent capabilities across Brivo's core access control and video products. This requires a proactive approach to system ownership—not only implementing features but also defining the technical roadmap for LLM orchestration, tooling, and agent infrastructure, driving architectural discussions on AI safety and reliability, and providing technical guidance to the team. You will directly own the underlying services, integrations, streaming pipelines, and guardrail systems that make generative AI safe and dependable in production. Our best engineers are adept at picking up new things, enjoy solving challenging problems, speak up, and thrive in a dynamic and fast-paced environment. You will join a high-impact team dedicated to building the next generation of AI-powered experiences on Brivo's platform. This team helps Brivo customers derive value from their access control and video systems by making buildings and their data intelligible and actionable through AI—developing platform capabilities ranging from multi-agent orchestration and LLM safety guardrails to tool/MCP servers, real-time streaming, and deep platform integrations. Responsibilities • Design, build, and operate MCP (Model Context Protocol) servers and tool registries that expose platform capabilities to LLMs and agents safely and reliably. • Deliver generative AI capabilities across the platform—prompt engineering, tool/function calling, agent routing, and stateful human-in-the-loop workflows—that are safe, responsive, and cost-efficient. • Build and maintain AI safety guardrails (prompt-injection, data-exposure, and relevance/abuse detection) and resumable tool workflows using Redis-backed checkpointing. • Spend approximately 70% of your time coding. This includes architecting and developing scalable, production-grade API and platform services primarily utilizing Node.js/TypeScript and Express for containerized and serverless (AWS Lambda) delivery, backed by an LLM-driven multi-agent orchestration framework. • Drive technical design, document key decisions (e.g., Architecture Decision Records - ADRs), and participate rigorously in code reviews and design sessions to maintain the highest quality engineering standards. • Own the cloud infrastructure and deployment pipelines, utilizing AWS (Lambda, SQS, Secrets Manager, SSM), CI/CD tooling, feature flags (LaunchDarkly), and externalized configuration (Spring Cloud Config) to automate provisioning and ensure continuous integration and delivery. • Collaborate effectively with product managers and designers to design and deliver high-quality features. Work within an Agile team to complete sprint planning, backlog grooming, feature reviews, and closely support your Team Lead with project scoping. • Troubleshoot and resolve complex, high-impact production issues, taking full responsibility for application ownership. Proactively identify security vulnerabilities, harden service-to-service auth and rate limiting, and optimize database performance and data models within PostgreSQL. • Set a high bar for engineering excellence and serve as a technical mentor to team members, driving process improvements and promoting best practices across the engineering department. • Partner with other teams across the organization to support the company's mission through architectural and technical improvements. Qualifications Required • 5+ years of professional experience designing, developing, and deploying highly available, scalable software solutions. • 5+ years of deep, hands-on experience with Node.js and TypeScript, including serverless development on AWS Lambda. • Direct experience building and operating MCP servers (or comparable LLM tool/plugin servers) in production. • Proven experience building production REST API services with Express (or equivalent), including authentication, rate limiting, input validation, and OpenAPI/Swagger documentation. • Hands-on experience developing LLM-enabled / generative AI applications—tool calling, multi-agent orchestration, and prompt engineering. • Strong experience with AWS, containerized deployments, and CI/CD tools. • Deep practical experience with relational databases, specifically PostgreSQL, and query optimization. • Experience with real-time streaming (Server-Sent Events and/or message queues such as AWS SQS) and Redis for state management. • BS degree in Computer Science, Engineering, or a related field, or equivalent practical experience. An advanced degree is preferred. • Exceptional written and verbal communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders. Highly Desirable Skills • Direct experience developing AI-enabled services, familiarity with LLM provider APIs (e.g., Anthropic Claude, OpenAI), and advanced context/prompt engineering techniques. • Experience designing AI safety guardrails (prompt-injection defense, data-exposure prevention) and human-in-the-loop confirmation flows for sensitive operations. • Experience authoring and scaling MCP server ecosystems—tool/resource design, transport, and access control for agent-facing APIs. • Experience with schema-validation libraries (e.g., Zod), feature-flagging platforms (LaunchDarkly), and externalized configuration (Spring Cloud Config). • Familiarity with agent-orchestration frameworks (e.g., LangChain/LangGraph or equivalent) and LLM evaluation, tracing, and cost/latency optimization. • Deep expertise in authentication and authorization, including OAuth 2.0, OIDC, and role-based access control for secure, multi-tenant enterprise platforms. • Domain experience in physical security, access control, or IoT platforms. Why Work for Us? Brivo is a Great Place to Work-Certified™ company and the global leader in cloud-based access control and video surveillance. Following our merger with Eagle Eye Networks, we are building the only platform powerful enough to support the future of AI-driven security. Why Your Work Matters Innovation drives our vibe, but purpose drives our mission. You will work on essential systems that protect the health, safety, and welfare of people and property worldwide. At Brivo, your voice is heard, your talent is respected, and your contributions have a global impact. • The Brivo Experience: We thrive on in-person collaboration and a "one-team" atmosphere. We embrace our international presence, leveraging diverse ideas and backgrounds to improve our culture and our products. To keep our global teams connected and inspired, we provide a premium onsite experience featuring communal meals, recurring social events, and fully stocked workspaces—ensuring you have everything you need to stay focused while building the future of security. • Total Rewards: We support our people with competitive medical, vision, and dental plans (including company-offset premiums), a 401k with company match, and an unlimited Paid Time Off (PTO) policy that empowers you to take the time you need to maintain a healthy work-life balance. Individual compensation packages are based on job-related skills, experience, qualifications, work location, training, and market conditions. In addition, Brivonians enjoy a robust benefits and perks package tailored to their work location.

Requirements

Must-haves

Design, build, and operate MCP (Model Context Protocol) servers and tool registries that expose platform capabilities to LLMs and agents safely and reliably.
Deliver generative AI capabilities across the platform—prompt engineering, tool/function calling, agent routing, and stateful human-in-the-loop workflows—that are safe, responsive, and cost-efficient.
Build and maintain AI safety guardrails (prompt-injection, data-exposure, and relevance/abuse detection) and resumable tool workflows using Redis-backed checkpointing.
Drive technical design, document key decisions (e.g., Architecture Decision Records - ADRs), and participate rigorously in code reviews and design sessions to maintain the highest quality engineering standards.
Set a high bar for engineering excellence and serve as a technical mentor to team members, driving process improvements and promoting best practices across the engineering department.
Partner with other teams across the organization to support the company's mission through architectural and technical improvements.
5+ years of professional experience designing, developing, and deploying highly available, scalable software solutions.
5+ years of deep, hands-on experience with Node.js and TypeScript, including serverless development on AWS Lambda.
Direct experience building and operating MCP servers (or comparable LLM tool/plugin servers) in production.
Proven experience building production REST API services with Express (or equivalent), including authentication, rate limiting, input validation, and OpenAPI/Swagger documentation.
Hands-on experience developing LLM-enabled / generative AI applications—tool calling, multi-agent orchestration, and prompt engineering.
Strong experience with AWS, containerized deployments, and CI/CD tools.
Deep practical experience with relational databases, specifically PostgreSQL, and query optimization.
Experience with real-time streaming (Server-Sent Events and/or message queues such as AWS SQS) and Redis for state management.
Exceptional written and verbal communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.
Highly Desirable Skills
Direct experience developing AI-enabled services, familiarity with LLM provider APIs (e.g., Anthropic Claude, OpenAI), and advanced context/prompt engineering techniques.
Experience designing AI safety guardrails (prompt-injection defense, data-exposure prevention) and human-in-the-loop confirmation flows for sensitive operations.
Experience authoring and scaling MCP server ecosystems—tool/resource design, transport, and access control for agent-facing APIs.
Experience with schema-validation libraries (e.g., Zod), feature-flagging platforms (LaunchDarkly), and externalized configuration (Spring Cloud Config).
Familiarity with agent-orchestration frameworks (e.g., LangChain/LangGraph or equivalent) and LLM evaluation, tracing, and cost/latency optimization.
Deep expertise in authentication and authorization, including OAuth 2.0, OIDC, and role-based access control for secure, multi-tenant enterprise platforms.
Domain experience in physical security, access control, or IoT platforms.

Nice-to-haves

BS degree in Computer Science, Engineering, or a related field, or equivalent practical experience. An advanced degree is preferred.

Application prep

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Keywords to mirror

aillmapinode.jstypescriptawsci/cdagilerest

Platform: pinpoint
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Pto

Paid Time Off