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Internship Ai Agent Developer Jobs (NOW HIRING)

Collaborate with engineering, data, and business teams to refine requirements and deliver solutions * Stay current with emerging tools, frameworks, and best practices in AI agent development Required ...

Senior AI Agent Engineer

$107K - $146K/yr

Senior AI Agent Engineer Remote - United States Contract Position 6+ Months An innovative organization specializing in AI and investment technology is seeking a Senior AI Agent Engineer to design and ...

As an AI Agent Developer, you will design, develop, and deploy intelligent AI agents that enhance client experience and operational efficiency. You will collaborate across teams to build scalable AI ...

AI Agent Engineer About Valitana Valitana is a rapidly growing FinTech company delivering cutting-edge SaaS solutions to institutional investors. Founded in 2017, our platform provides advanced ...

AI Agent Engineer

Stamford, CT ยท On-site

$16 - $21.25/hr

Position Overview Valitana is hiring its first dedicated AI Agent Engineer -- a founding role that will define how artificial intelligence is designed, built, and governed across our platforms. This ...

Job Title: - Senior AI Agent Engineer Location: - McLean, VA - 5 days onsite Employment Type: - Contract Need 10+ years of experience resumes and need locals to VA or nearby location. - We are ...

AI Agent Engineer

Dania Beach, FL ยท On-site +1

$102K - $137K/yr

Our no-code templates, low-code, co-creation, and developer API options provide you with simple, easy-to-use tools that can be utilized by anyone. Job Summary: As an AI Agent Engineer at IntelePeer ...

Python AI Agent Developer - Dallas, TX

Dallas, TX ยท On-site

$49.75 - $68.50/hr

A framework builder mindset - you enjoy designing systems other developers will use. Passionate about AI and automation , eager to experiment with agent-driven architectures.

AI Agent Engineer

Dania Beach, FL

$102K - $137K/yr

Our no-code templates, low-code, co-creation, and developer API options provide you with simple, easy-to-use tools that can be utilized by anyone. Job Summary: As an AI Agent Engineer at IntelePeer ...

AI Agent Engineer

Warren, MI ยท On-site +1

We are seeking an AI Agent Engineer to design, build, and operationalize AI-powered agents that enhance employee productivity and decision-making in a complex enterprise environment. The ideal ...

Boston or San Francisco (Berkeley), hybrid (2 days/week in office) About the Role As a Principal AI Agent Engineer , you define what "great" looks like for agent engineering at Liberate. You set the ...

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Internship Ai Agent Developer information

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How much do internship ai agent developer jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for internship ai agent developer in the United States is $22.89, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $24.28 per hour, depending on experience, location, and employer.

What types of projects do Internship AI Agent Developers typically work on, and how do these projects support learning and skill development?

Internship AI Agent Developers often work on practical projects such as building conversational bots, optimizing existing AI workflows, or developing small-scale machine learning models. These projects are designed to expose interns to real-world challenges, including data preprocessing, model evaluation, and team-based problem-solving. As part of a collaborative team, interns usually participate in code reviews, brainstorming sessions, and weekly stand-ups, offering many opportunities to learn from experienced developers and data scientists. This hands-on experience helps interns gain valuable technical and communication skills that are essential for a career in AI development.

What does an Internship AI Agent Developer do?

An Internship AI Agent Developer assists in designing, developing, and testing artificial intelligence agents, such as chatbots or virtual assistants. These interns typically work with machine learning models, natural language processing, and programming languages like Python. Their tasks may include coding, data preparation, model training, and evaluating agent performance. The role provides hands-on experience under the supervision of experienced AI engineers, helping interns build practical skills in AI development.

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

To thrive as an Internship AI Agent Developer, a strong foundation in programming (especially Python), machine learning concepts, and data analysis is essential, typically supported by coursework or relevant project experience. Familiarity with frameworks like TensorFlow or PyTorch, version control systems such as Git, and exposure to AI development environments is highly valuable. Problem-solving skills, curiosity, and effective communication help interns stand out by enabling them to learn quickly and collaborate with teams. These abilities are crucial for contributing to innovative AI projects and efficiently adapting to a fast-paced, evolving technical environment.
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What cities are hiring for Internship Ai Agent Developer jobs? Cities with the most Internship Ai Agent Developer job openings:
What are the most commonly searched types of Ai Agent Developer jobs? The most popular types of Ai Agent Developer jobs are:
What states have the most Internship Ai Agent Developer jobs? States with the most job openings for Internship Ai Agent Developer jobs include:
What job categories do people searching Internship Ai Agent Developer jobs look for? The top searched job categories for Internship Ai Agent Developer jobs are:
Infographic showing various Internship Ai Agent Developer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $47,621 per year, or $22.9 per hour.
AI Agent Developer

AI Agent Developer

Spruce Infotech

Lincolnshire, IL โ€ข On-site

Contractor

Posted 18 days ago


Job description

This role focuses on the design, development, and deployment of AI agents that support business operations, automation, and customer-facing use cases. The ideal candidate brings hands-on experience building and deploying AI-driven solutions in real-world environments, with the ability to translate business needs into scalable, production-ready agent architectures.
Key Responsibilities
  • Design, develop, and deploy AI agents using modern LLM platforms (e.g., OpenAI, Claude, Gemini, Azure AI)
  • Implement agent architectures including tool use, multi-step workflows, and retrieval-augmented generation (RAG) patterns
  • Integrate AI agents with enterprise systems, APIs, and data sources
  • Develop and maintain reusable components such as prompt libraries, evaluation frameworks, and agent workflows
  • Support deployment and lifecycle management, including monitoring, versioning, and performance tuning
  • Implement guardrails, validation, and security practices to ensure responsible AI usage
  • Collaborate with engineering, data, and business teams to refine requirements and deliver solutions
  • Stay current with emerging tools, frameworks, and best practices in AI agent development

Required Skills & Experience
  • 5+ years of software development experience, including hands-on work with AI/LLM-based solutions
  • Proficiency in Python and/or JavaScript/TypeScript
  • Experience building and deploying AI agents or LLM-driven applications in production environments
  • Strong understanding of LLM concepts, prompt engineering, and agent design patterns
  • Experience integrating APIs, data sources, and backend services into AI workflows
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and modern development practices
  • Strong communication skills and ability to work with both technical and non-technical stakeholders

Preferred Skills & Experience
  • Experience with agent frameworks (e.g., LangChain, LangGraph, Semantic Kernel)
  • Familiarity with vector databases, embeddings, and RAG architectures
  • Experience with CI/CD pipelines, containerization, or cloud-native deployment models
  • Exposure to AI observability, evaluation, or testing frameworks
  • Experience implementing AI security practices (e.g., prompt injection mitigation, data protection)