Software Engineer, Early Career - AI Platform

Brivo, Inc.; Bethesda (MD); On-site; USD 120,000 - 144,000; Full time

Benefits offered by this job

Medical, Vision & Dental

401k with company match

Unlimited PTO

Job summary

Brivo is building the next generation of AI-powered access control and video platforms. As a Software Engineer, Early Career, you will contribute to production API services in Node.js/TypeScript and help scale AI features from day one.

You will learn from senior engineers through code reviews and design discussions, work in a fast-paced Agile environment, and grow toward owning components across AWS, CI/CD, PostgreSQL, and Redis.

Qualifications

• BS degree in Computer Science, Engineering, or related field or equivalent practical experience.
• Solid programming fundamentals in at least one modern language (JavaScript/TypeScript, Python, Java, etc.).
• University project, capstone, internship, or personal project involving AI/LLMs.
• Foundational understanding of generative AI/LLM concepts—prompting, tool calls, and model usage.
• Familiarity with relational databases (PostgreSQL) and SQL.
• Comfort with Git and collaborative development workflows.
• Strong written and verbal communication and eagerness to learn.

Responsibilities

• Spend majority of time coding in production API services using Node.js/TypeScript and Express.
• Contribute to LLM and generative AI features, including prompt logic and tool calling.
• Help build and test AI safety guardrails and tooling for AI agents.
• Participate in code reviews and design discussions, documenting decisions.
• Write and maintain automated tests and troubleshoot issues in dev/prod.
• Work in an Agile team with product, design, and QA to deliver features.
• Learn cloud/deployment practices (AWS, CI/CD, PostgreSQL, Redis) and grow ownership of components.

Skills

JavaScript/TypeScript

Python

Data structures & algorithms

Web/API services

Git & collaboration

Education

BS in CS/Engineering

Tools

PostgreSQL

Express

AWS

Docker

REST APIs

Job description

Software Engineer, Early Career - AI Platform

Department: Engineering - Access

Employment Type: Full Time

Location: Bethesda

Compensation: $120,000 - $144,000 / year

Description

You’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.

Qualifications

Required

• 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.

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.