Sr. Software Engineer - AI Platform
Senior engineer building and maintaining Brivo's AI-powered access control and video platforms, focusing on LLM orchestration, MCP servers, and real-time streaming with Node.js/TypeScript and AWS.
- Compensation
- Not disclosed
- Location
- Bethesda, Maryland
- Work setup
- Onsite
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 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.
Full 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.
- 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.