Software Engineer, Early Career - AI PlatformDepartment: Engineering - Access
Employment Type: Full Time
Location: Bethesda
Compensation: $120,000 - $144,000 / year
DescriptionYou'll join the team building Brivo's AI platform-the services, integrations, and guardrails that bring intelligent, natural-language capabilities to our core Access Control and Video products. This is a hands-on role where you'll write production code from day one, learn how large-scale systems are built and operated, and grow alongside experienced engineers who will mentor you through design reviews, code reviews, and real production work. We're looking for someone curious, eager to learn, and excited about AI-someone who picks up new technologies quickly, asks good questions, speaks up, and thrives in a fast-paced environment.
You will join a high-impact team building the next generation of AI-powered experiences on Brivo's platform. This team helps customers get more value from their access control and video systems by making buildings and their data intelligible and actionable through AI-working on capabilities ranging from LLM orchestration and safety guardrails to tools that let AI agents interact with the platform. You'll get broad exposure to modern backend, cloud, and AI engineering.
Responsibilities- 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.
QualificationsRequired- 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.
Highly Desirable / Nice to Have- 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.
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.
