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Intern Ai Agent Developer Jobs (NOW HIRING)

Google

Staff Applied AI Agent Developer

Manhattan, NY · On-site

As a Staff Applied AI Agent Developer, you will apply Google's Generative AI to solve real-world challenges for strategic customers by building, deploying, and optimizing sophisticated AI agents.

New

SK Life Science, Inc.

Intern - AI Engineering

Paramus, NJ · On-site

$17 - $22/hr

Overview The AI Engineer Intern will support the design and implementation of AI-driven solutions ... Responsibilities Architect and manage agent-based systems that collaborate to execute drug ...

Workato

Intern, AI Engineering

San Francisco, CA

Workato AI Lab About Workato AI Lab Workato AI Lab is at the forefront of enterprise AI innovation ... LLM Agent Systems : Design and implement intelligent agent architectures for complex enterprise ...

Liberty Personnel, Inc

AI Agent Engineer

Philadelphia, PA · Hybrid

$15.25 - $20.25/hr

AI Agent Engineer Hybrid onsite Enterprise AI Transformation Our client is seeking an AI Agent Engineer to help drive enterprise AI initiatives across operations, reporting, compliance, finance, and ...

Outlier AI

AI Agent Developer (Contract, Remote)

Ideal Qualifications * 2+ years of experience in backend engineering, AI automation, or complex ... track agent progress. * Experience identifying subtle failures like privacy leaks, authority ...

Symbolica AI

AI Agent Engineer

San Francisco, CA · On-site

About the Role We're looking for an AI Agent Engineer - a software engineer with deep experience in ML, LLMs, and/or agentic systems - to help push the limits of our internal agent framework and ...

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Intern Ai Agent Developer information

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

To thrive as an Intern AI Agent Developer, you need a solid understanding of programming languages like Python, basic knowledge of machine learning concepts, and enrollment in or completion of a relevant degree such as computer science. Familiarity with tools and frameworks such as TensorFlow, PyTorch, Git, and cloud platforms is typically expected. Curiosity, strong problem-solving skills, and the ability to collaborate within a team help you stand out. These skills are crucial for successfully contributing to AI projects, learning quickly in a dynamic field, and effectively supporting development teams.

What types of projects and tasks can an Intern AI Agent Developer expect to work on during their internship?

As an Intern AI Agent Developer, you will typically collaborate with experienced engineers and data scientists to design, develop, and test components of AI-driven systems. Your daily tasks may include writing and debugging code, assisting in training machine learning models, and running experiments to evaluate agent performance. Interns often contribute to documentation, participate in code reviews, and may even help implement features under supervision. This role provides a hands-on learning environment where you can develop both technical and teamwork skills, while gaining exposure to the latest AI development tools and practices.

What does an Intern AI Agent Developer do?

An Intern AI Agent Developer assists in designing, developing, and testing artificial intelligence agents, which are software programs capable of performing tasks that typically require human intelligence. Their responsibilities may include writing code, training machine learning models, analyzing data, and supporting senior developers in research or project work. Interns in this role gain hands-on experience with AI frameworks and tools while learning best practices in software engineering and artificial intelligence development.

What is the difference between Intern Ai Agent Developer vs Intern Machine Learning Engineer?

AspectIntern Ai Agent DeveloperIntern Machine Learning Engineer
Required CredentialsRelevant coursework, basic programming skills, familiarity with AI toolsRelevant coursework, programming skills, understanding of ML algorithms
Work EnvironmentTech companies, AI startups, research labsTech companies, research institutions, AI startups
Employer & Industry UsageAI development teams, chatbot and virtual assistant projectsData science teams, predictive modeling projects

Intern Ai Agent Developers focus on building and improving AI agents like chatbots and virtual assistants, often requiring knowledge of AI frameworks. Intern Machine Learning Engineers work on developing ML models for various applications, emphasizing data handling and algorithm implementation. Both roles are common in tech and AI industries, but they differ in specific focus areas and skill sets.

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Infographic showing various Intern Ai Agent Developer job openings in the United States as of May 2026, with employment types broken down into 33% Internship, 34% Full Time, and 33% Part Time. Highlights an 67% In-person, and 33% Remote job distribution.

Staff Applied AI Agent Developer

Google

Manhattan, NY • On-site

Full-time

Posted yesterday

Google rating

8.7

Company rating: 8.7 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

37th of 183 rated software companies

Job description

Job Summary:
Google is a leading technology company that develops next-generation technologies for billions of users. As a Staff Applied AI Agent Developer, you will apply Google's Generative AI to solve real-world challenges for strategic customers by building, deploying, and optimizing sophisticated AI agents.
Responsibilities:
• Partner directly with select, strategic customers to understand their business challenges. Design, co-develop, debug, and deploy custom conversational AI agents and solutions to accelerate their time to value.
• Act as a high-level problem solver, empowered to write bespoke code, develop custom tooling, and even contribute directly to the core product codebase to resolve critical customer issues.
• Systematize your learnings from customer engagements by creating reusable tools, building documentation and accelerators, and establishing best practices that can be used across the organization.
• Serve as a critical feedback loop to our core Product and Development teams. Synthesize insights from the field to influence product strategy, identify feature gaps.
• Act as a subject matter expert, providing technical guidance and best practices to customers on agent improvement, performance tuning, CI/CD pipelines, and production readiness.
Qualifications:
Required:
• Bachelor’s degree or equivalent practical experience.
• 8 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
• Experience with core GenAI concepts (e.g., Large Language Model (LLM), multi-modal, large vision models) and experience with text, image, video, or audio generation.
Preferred:
• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• Experience in Vertex AI, BigQuery, Cloud Storage, and Dialogflow.
• Experience in prompt development, model evaluation, and the creative application of Artificial Intelligence (AI).
• Ability to be flexible and resilient in dynamic environments where priorities often shift and to take ownership and respond to urgent business or customer issues.
Company:
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet. Founded in 1998, the company is headquartered in Mountain View, USA, with a team of 10001+ employees. The company is currently Late Stage.

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