AI Agent Builder Intern

Cloudforce

Washington (District of Columbia)

On-site

USD 22,730 - 32,373

Part time

14 days+

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Benefits offered by this job

Opportunities to learn and grow
Parking support and workplace conveniences
Community involvement and team collaboration

Job summary

A dynamic tech company in Maryland is seeking an AI Agent Builder Intern for a 3-month paid internship. In this role, you'll create and optimize AI agents within nebulaONE, translating project requirements into designs and collaborating with engineers. Ideal candidates will have a recent degree or be nearing completion in a relevant field and possess a strong willingness to learn about AI technologies and development processes. This internship offers on-site work at National Harbor and a supportive team culture.

Qualifications

  • Recent graduate or near completion of a college degree.
  • Some technical foundation and eagerness to grow.
  • Strong appetite for learning in AI and agent development.

Responsibilities

  • Help bring intelligent AI agents to life within nebulaONE.
  • Translate client requirements into actionable designs.
  • Test agents to ensure readiness for production.

Skills

Eager to learn AI technologies
Strong drive and work ethic
Written communication skills
Team collaboration

Education

College degree from a Maryland institution

Tools

Python
JavaScript

Job description

Overview

Job Title: AI Agent Builder Intern

Location: National Harbor, MD (On-Site)

Type: Maryland Lighthouse Industries & AI Internship Program (3 months)

Compensation: $20/hour

Note: applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.

Ready to build the AI agents of tomorrow? We are looking for a curious, hands-on Agent Builder Intern who wants to create intelligent systems that solve real problems. You will be working with nebulaONE to design, build, and test AI agents that solve problems for real clients. You’ll configure workflows, teach agents new tricks, and debug like a digital detective. You’ll collaborate with engineers and solution architects who mentor and share knowledge. If you’re excited about AI, enjoy building things, and want to grow with a team that values creativity and initiative, keep reading.

Responsibilities
  • Help bring intelligent AI agents to life within nebulaONE alongside experienced engineers.
  • Translate client and project requirements into actionable designs for building agents.
  • Experiment with different AI tools, models, strategies, and configurations to optimize agent value.
  • Create and configure agent workflows, multi-agent handoffs, and integrations.
  • Test agents to ensure readiness for production.
  • Document testing, track bugs, and collaborate to resolve issues.
  • Help build and refine features and integrations that improve agent value for clients.
  • Create helpful documentation such as guides, diagrams, and notes for teams and nebulaONE users.
  • Collaborate with teams to gather feedback and improve agent designs.
  • Monitor agent performance and identify opportunities to upgrade.
  • Gain hands-on experience with development tools like Git and understand deployment processes.
  • Stay informed about the latest in AI, ML, and intelligent agent systems.
Qualifications
  • Must have recently graduated (within 2 years) or be near completion of a college degree from a Maryland institution and/or be a Maryland resident.
  • Some technical foundation — eager to grow, not necessarily an expert yet.
  • Strong appetite for learning, especially in AI technologies, agent development, and nebulaONE.
  • Strong drive, work ethic, and clear goals.
  • Initiative — proactive and willing to take on challenges.
  • Patience and persistence to solve problems.
  • Easy-going personality with humility and a sense of humor.
  • Strong written communication skills — able to translate technical concepts into clear language with personality.
  • Passion for people — values collaboration and community involvement.
Preferred Skills and Experience
  • Familiarity with AI tools, chatbots, or conversational AI platforms (e.g., ChatGPT, Copilot).
  • Basic programming or scripting experience with Python, JavaScript, or similar languages.
  • Exposure to APIs, webhooks, or integrations, or coursework in software development, CS, or AI.
  • Experience writing structured prompts or instructions for AI systems.
  • Comfortable organizing information in documents, spreadsheets, and knowledge bases.
You Love To
  • Work in a dynamic team environment.
  • Learn and explore modern technologies.
  • Take initiative and manage your own time.
  • Analyze and solve tough technical problems with cutting-edge tech.
  • Demonstrate expertise through a consultative, collaborative engineering approach.
  • Interact with clients and maintain excellent working relationships.
  • Participate in monthly company outings and quarterly local service projects.
  • Have team lunches on Fridays and join in ping-pong challenges.

Note: Responsibilities may evolve as needs change and opportunities arise.

About Us

Cloudforce is a spirited team defined by excellence, growth, teamwork, passion, giving back, and glee. We focus on cloud computing and human-centered technology solutions for businesses, developers, and entrepreneurs. We offer opportunities to learn, grow, and be part of a team that values openness, inclusiveness, and community involvement.

Cloudforce is an Equal Opportunity/Affirmative Action employer. All qualified candidates will receive consideration without regard to disability, protected veteran status, race, color, religious creed, national origin, citizenship, marital status, sex, sexual orientation/gender identity, age, or genetic information. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions under the Americans with Disabilities Act.

Benefits
  • Opportunities to learn, grow, and expand your professional network.
  • Offices at National Harbor with scenic views and amenities nearby.
  • Parking support and other workplace conveniences.
  • Leave and holiday policies as applicable.
  • Access to Employee Assistance Program (EAP).
  • Snacks, team lunches, and engaging team culture.
  • Modern workspace with up-to-date technology and facilities.
  • Community involvement and strong team collaboration.
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