Software Engineer, Early Career - AI Platform
- Spend the majority of your time coding. You'll build and maintain features in production API services using Node.js/TypeScript and Express, with support and mentorship from senior engineers.
- Contribute to our LLM and generative AI features—helping implement prompt logic, tool/function calling, and agent workflows—and learn how they run safely at scale.
- Help build and test AI safety guardrails (e.g., prompt-injection and data-exposure checks) and tooling that lets AI agents interact with the platform.
- Participate actively in code reviews and design discussions, learning to document decisions and raise the quality bar over time.
- Write and maintain automated tests (unit and integration) and help troubleshoot issues in development and production environments.
- Work within an Agile team—joining sprint planning, backlog grooming, and feature reviews—and collaborate with product managers, designers, and QA to deliver high-quality features.
- Learn our cloud and deployment practices, including AWS, CI/CD pipelines, PostgreSQL, and Redis, and grow into owning your own components.
- BS degree in Computer Science, Engineering, or a related field, or equivalent practical experience (bootcamp, self-taught, or comparable).
- Solid programming fundamentals in at least one modern language (JavaScript/TypeScript, Python, Java, or similar), plus a working understanding of data structures, algorithms, and how web/API services work.
- A university project, capstone, internship project, or personal side project you can demonstrate and discuss in depth—ideally one that involves AI/LLMs (e.g., a chatbot, agent, RAG app, or an app built on an LLM API).
- Foundational understanding of generative AI / LLM concepts—prompting, tool/function calling, and the basics of how models are used in applications.
- Familiarity with relational databases (e.g., PostgreSQL) and basic SQL.
- Comfort with Git and collaborative development workflows.
- Strong written and verbal communication skills, and genuine eagerness to learn and take feedback.
- Hands-on experience—even in a school or side project—with an LLM provider API (e.g., Anthropic Claude, OpenAI) or an agent framework (e.g., LangChain/LangGraph).
- Exposure to MCP (Model Context Protocol) servers or building tools/plugins that let an LLM call external functions.
- Any experience with Node.js/TypeScript, Express, or REST API development.
- Exposure to cloud platforms (especially AWS), Docker/containers, or CI/CD pipelines.
- Awareness of AI safety concerns—prompt injection, data leakage, hallucinations—and why guardrails matter.
- Interest in physical security, access control, or IoT.
- Prior internship or open-source contributions.
- 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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