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Internship Ai Agent Jobs (NOW HIRING)

Relevant internship, research, freelance, project, or professional experience developing AI solutions or automation workflows. * Hands-on experience with AI tools, including agent development and ...

The AI Data Specialist will support the development of the Scope AI agent by managing data ... Relevant internships, co-ops, or substantial academic projects will be considered in lieu of ...

ROLE OVERVIEW Join our 2026 summer internship program! Build real-world AI systems and agent workflows used by leading financial institutions-while learning how to ship production-grade AI from day ...

AI Data Specialist

Beverly, MA · On-site

$60K - $64K/yr

The Scope AI agent is an exciting new feature that will help our designer users navigate more ... Relevant internships, co-ops, or substantial academic projects will be considered in lieu of ...

AI Data Specialist

Beverly, MA · On-site

$60K - $64K/yr

The Scope AI agent is an exciting new feature that will help our designer users navigate more ... Relevant internships, co-ops, or substantial academic projects will be considered in lieu of ...

You will also build and lead a high-impact team--including AI practitioners and interns--focused on ... Stay current on emerging trends in AI, agent-based systems, and automation, and translate them into ...

AI Engineering Intern

Boulder, CO · On-site

$17 - $25/hr

ROLE OVERVIEW Join our 2026 summer internship program! Build real-world AI systems and agent workflows used by leading financial institutions-while learning how to ship production-grade AI from day ...

This internship is ideal for students or recent graduates with a strong computer science background ... agent workflows. * Support development of agentic AI applications using frameworks such as ...

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Internship Ai Agent information

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

To thrive as an Internship AI Agent, you need foundational knowledge in programming (such as Python), basic machine learning concepts, and typically be pursuing or hold a degree in computer science or a related field. Familiarity with AI tools and frameworks like TensorFlow, PyTorch, and version control systems (e.g., Git) is commonly expected. Strong problem-solving abilities, eagerness to learn, and effective communication skills help interns stand out in collaborative, fast-paced environments. These skills are important for effectively contributing to AI projects, adapting to new technologies, and maximizing learning during the internship.

What is the difference between Internship Ai Agent vs Data Analyst?

AspectInternship Ai AgentData Analyst
Required CredentialsBasic understanding of AI, programming, or related courseworkBachelor's degree in data science, statistics, or related field
Work EnvironmentInternship setting, often in tech or AI companiesOffice or remote, in various industries like finance, healthcare, or tech
Employer & Industry UsageStartups, tech firms, AI-focused companiesCorporations, consulting firms, research institutions
Search & Comparison IntentEntry-level AI-related roles, internships in AIData analysis roles, career in data science

The Internship Ai Agent is an entry-level role focused on assisting with AI projects, often requiring basic technical skills and offering hands-on experience. In contrast, a Data Analyst typically requires more advanced data skills and works across various industries analyzing data to inform business decisions. Both roles serve as entry points but differ in focus and skill requirements.

What are Internship AI Agents?

Internship AI Agents are artificial intelligence systems designed to perform tasks or assist with projects typically assigned to interns within an organization. These AI agents can handle data entry, research, scheduling, or even more advanced tasks like data analysis and report generation. Their purpose is to automate routine or time-consuming internship responsibilities, allowing human interns to focus on learning and development. Companies use these agents to improve productivity and streamline workflows, while also helping real interns gain exposure to AI-powered tools.

What types of projects can an Internship AI Agent expect to work on, and how do they typically contribute to the team?

As an Internship AI Agent, you can expect to be involved in a variety of projects such as assisting with data preprocessing, developing and testing machine learning models, or contributing to the improvement of natural language processing systems. Interns often support senior engineers and researchers by conducting literature reviews, analyzing datasets, and implementing algorithms under guidance. Collaboration is key, as you’ll regularly participate in team meetings, brainstorm solutions, and present your findings. This hands-on experience not only enhances your technical skills but also deepens your understanding of how AI solutions are developed and deployed in real-world applications.
More about Internship Ai Agent jobs
What cities are hiring for Internship Ai Agent jobs? Cities with the most Internship Ai Agent job openings:
What are the most commonly searched types of Ai Agent jobs? The most popular types of Ai Agent jobs are:
What states have the most Internship Ai Agent jobs? States with the most job openings for Internship Ai Agent jobs include:
Infographic showing various Internship Ai Agent job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.
AI Agent Developer

Full-time

Posted 28 days ago


Job description


The AI Agent Developer is responsible for building, deploying, and supporting AI agents and automation workflows that help teams across Vertech work more efficiently. They design and optimize prompts, tools, memory strategies, and agent workflows for business-specific use cases, and partner with stakeholders across HR, Accounting, IT, PMO, Sales, and Engineering to translate business needs into practical AI solutions. The developer curates the knowledge base that AI agents draw from, monitors agent performance, and continuously improves reliability, accuracy, and business impact.
Primary Duties and Responsibilities
  • Build AI agents, copilots, and workflow automations for business-specific use cases.
  • Design, test, and optimize prompts, tools, memory strategies, and agent workflows.
  • Partner with stakeholders across HR, Accounting, IT, PMO, Sales, and Engineering to gather requirements and translate them into technical specifications.
  • Curate and update the knowledge base (“knowledge scaffolding”) that AI agents use to ensure responses remain accurate and compliant with company policy.
  • Refine input queries and prompts to optimize model behavior for specific business use cases.
  • Troubleshoot technical issues, diagnose and resolve bugs in AI models, and resolve integration issues with existing SaaS platforms.
  • Monitor agent performance and identify patterns in failure modes (e.g., unexpected tone shifts, drops in resolution quality).
  • Develop testing and evaluation processes to measure agent reliability, response quality, and business impact.
  • Integrate AI systems with APIs, SaaS platforms, databases, and internal business systems.
  • Lead workshops and create documentation to help non-technical staff adopt new AI features effectively.
  • Collaborate with vendors on solution design and technical requirements for contracted work.
  • Other duties as assigned.

Education and Experience
  • Bachelor’s degree in Computer Science, Information Systems, Engineering, Business, or a related field; or 4 years of related experience.
  • Relevant internship, research, freelance, project, or professional experience developing AI solutions or automation workflows.
  • Hands-on experience with AI tools, including agent development and support.
  • Technical fluency in programming languages such as Python, SQL, or Java for diagnosing complex API or data issues.
  • Experience with AI providers and LLMs such as Claude, ChatGPT, or Gemini.
  • Familiarity with AI agent orchestration frameworks, workflow automation platforms (e.g., n8n, Make, Zapier), retrieval augmented generation (RAG), and vector database concepts.
  • Familiarity with frameworks such as TensorFlow or PyTorch, and an understanding of Natural Language Processing (NLP) preferred.
  • Proficiency with Microsoft Office (Word, Excel, PowerPoint).

Skills and Abilities
  • Demonstrated curiosity and experimentation with emerging AI technologies; personal projects, GitHub repositories, hackathons, or portfolio work encouraged.
  • Strong problem-solving and troubleshooting skills.
  • Excellent organizational and planning skills.
  • Strong verbal and written communication skills, with the ability to translate technical concepts for non-technical audiences.
  • Ability to work collaboratively across departments.