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Internship Ai Coding Jobs in Washington (NOW HIRING)

J Street

AI & Cybersecurity Intern

Washington, DC

$19/hr

This internship is an excellent opportunity to be involved with J Street's work in Washington, DC ... Do you have any experience with coding or technical tools (e.g., SQL, Python, JavaScript, HTML ...

J Street

AI & Cybersecurity Intern

Washington, DC · On-site

$19/hr

This internship is an excellent opportunity to be involved with J Street's work in Washington, DC ... Do you have any experience with coding or technical tools (e.g., SQL, Python, JavaScript, HTML ...

Salesforce

AI Builder, Emerging Talent

Mclean, VA

$56 - $74.25/hr

Our interns and new graduates work on real projects that affect how our business runs, giving them ... Including Cursor, Claude, and our coding products like Vibes, to accelerate development.

Salesforce, Inc.

AI Builder, Emerging Talent

Mclean, VA · On-site

$56 - $74.25/hr

Our interns and new graduates work on real projects that affect how our business runs, giving them ... Including Cursor, Claude, and our coding products like Vibes, to accelerate development.

Rackner

Computer Science Internship

College Park, MD · On-site

$19 - $25/hr

... AI/ML and systems architecture and our methodology focuses on cloud-first and cost-effective ... Participate in coding, testing, and documentation of software components. * Analyze and interpret ...

Rackner

Computer Science Internship

College Park, MD

$19 - $25/hr

... AI/ML and systems architecture and our methodology focuses on cloud-first and cost-effective ... Participate in coding, testing, and documentation of software components. * Analyze and interpret ...

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Internship Ai Coding information

What are the key skills and qualifications needed to thrive as an AI Coding Intern, and why are they important?

To thrive as an AI Coding Intern, you need a solid understanding of programming languages like Python, foundational knowledge in algorithms, data structures, and basic machine learning concepts, often supported by coursework or personal projects. Familiarity with tools such as TensorFlow, PyTorch, Jupyter Notebooks, and version control systems like Git is typically expected. Strong problem-solving skills, eagerness to learn, and effective communication make an intern stand out. These skills and qualities are crucial for successfully contributing to AI projects, learning from mentors, and adapting to the fast-paced field of artificial intelligence.

What is the difference between Internship Ai Coding vs Data Analyst Intern?

AspectInternship Ai CodingData Analyst Intern
Required SkillsProgramming, AI/ML concepts, Python, TensorFlowData analysis, Excel, SQL, statistical skills
Work EnvironmentTech companies, AI startups, R&D teamsBusiness, finance, marketing departments
Industry UsageArtificial Intelligence, Machine Learning, Software DevelopmentBusiness Intelligence, Data Management, Reporting

Internship Ai Coding focuses on developing AI models and programming skills in a tech environment, often involving machine learning projects. Data Analyst Internships emphasize analyzing data sets, creating reports, and supporting business decisions. Both roles require technical skills but differ in their focus and industry applications.

What is an AI coding internship?

An AI coding internship is a temporary position where students or recent graduates work with artificial intelligence technologies, focusing on programming and software development tasks. Interns typically assist in designing, coding, and testing AI models or applications under the guidance of experienced professionals. These internships provide hands-on experience with machine learning, data analysis, and software engineering, often using languages like Python or frameworks such as TensorFlow and PyTorch. The goal is to help interns gain practical skills and industry knowledge that can support a future career in AI or related fields.

What types of projects can I expect to work on during an AI Coding internship?

As an AI Coding intern, you can typically expect to contribute to projects such as developing machine learning models, automating data processing tasks, and supporting the integration of AI features into existing applications. Interns often collaborate with data scientists and software engineers, gaining hands-on experience with real datasets and industry-standard tools. Daily responsibilities might include coding, testing algorithms, participating in code reviews, and presenting project updates to the team. This role offers a valuable opportunity to build technical skills while working in a collaborative, mentorship-driven environment.
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Internship Ai Coding jobs near you
Software Engineer, Early Career - AI Platform

Software Engineer, Early Career - AI Platform

Brivo

Bethesda, MD

$120K - $144K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New

Job description

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.