Software Engineer, Early Career - AI Platform

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

Benefits offered by this job

In-person collaboration

Premium onsite experience

401k with company match

Unlimited PTO

Job summary

Brivo is seeking an engineer to join the team building its AI platform for access control and video systems in Bethesda. You’ll write production code from day one, learn how large-scale systems are built, and grow with mentors through design reviews and production work.

You will contribute to LLM features, safety guardrails, and tools, with exposure to AWS, CI/CD, PostgreSQL, and Redis, in a fast-paced environment. This hands-on role emphasizes code quality and collaboration.

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, or similar).
• University project, capstone, internship, or personal project involving AI/LLMs (e.g., chatbot, agent, or RAG app).
• Foundational understanding of generative AI / LLM concepts—prompting, tool/function calls, and how models are used in apps.
• Familiarity with relational databases (PostgreSQL) and basic SQL.
• Comfort with Git and collaborative workflows.
• Strong written and verbal communication and eagerness to learn.
• Hands-on experience with an LLM provider API or agent framework (e.g., LangChain).
• Exposure to AWS, Docker/containers, or CI/CD pipelines.
• Awareness of AI safety concerns—prompt injection, data leakage, hallucinations.

Responsibilities

• Write production code in Node.js/TypeScript and Express with mentorship from senior engineers.
• Contribute to LLM and generative AI features—prompt logic, tool calling, and agent workflows, at scale.
• Help build AI safety guardrails and tooling for AI agents interacting with platform.
• Participate in code reviews and design discussions, documenting decisions and improving quality.
• Write and maintain unit and integration tests; troubleshoot in dev and production.
• Work in an Agile team with PMs, designers, and QA to deliver features.
• Learn AWS, CI/CD, PostgreSQL, Redis, and grow to own components.

Skills

JavaScript/TypeScript

Python

Java

Data structures

Algorithms

Web/API services

Git

Communication

Education

BS in CS/Engineering or equivalent

Bootcamp / self-taught / practical experience

Tools

Node.js

Express

REST API

PostgreSQL

Redis

Job description

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

Department: Engineering – Access

Location: Bethesda

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, building and maintaining 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—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.

Benefits

• The Brivo Experience: We thrive on in‑person collaboration and a "one‑team" atmosphere, providing a premium onsite experience featuring communal meals, recurring social events, and fully stocked workspaces.
• Total Rewards: Competitive medical, vision, and dental plans (including company‑offset premiums), a 401k with company match, and an unlimited Paid Time Off (PTO) policy.

Brivo is an equal employment opportunity employer and values diversity. Qualified candidates are considered for employment without regard to race, religion, gender, gender identity, sexual orientation, national origin, age, military or veteran status, disability, or any other characteristic protected by applicable law. If you require reasonable accommodations during the application or interview process, please inform us.