Sr. Software Engineer - AI Platform
- 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.
- 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.
- 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.
- 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.
About the Company
Brivo and Eagle Eye Networks have come together to create a category-defining, cloud-first platform at the intersection of AI and the physical world. Our mission is simple and ambitious: to make physical spaces safer, smarter, and more autonomous—from single-site businesses to global enterprises.
As the unified global leaders in cloud-based access control and video surveillance, we provide a comprehensive digital foundation for the built environment. By combining Brivo’s pioneering building access platform with Eagle Eye’s AI-powered video management system (VMS), we have created a system of intelligence that protects over 600 million square feet across 90+ countries. Every door, camera, and credential in our ecosystem acts as a real-time sensor, leveraging AI to prevent incidents, improve operations, and enable entirely new workflows across sectors, including commercial real estate, retail, healthcare, education, and critical infrastructure.
Join us as we build the world’s most robust platform for video intelligence and smart space automation.
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