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Intern Ai Agent Developer Jobs (NOW HIRING)

AI / Agent Engineer

NJ ยท On-site

$15.25 - $20.25/hr

ROLE OVERVIEW We are looking for a skilled AI / Agent Engineer to build, integrate, and operate ... Exposure to CI/CD pipelines and DevOps practices for ML or AI systems. * Familiarity with ...

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 ...

AI / Agent Engineer

Jackson, NJ ยท On-site

$15.25 - $20.25/hr

ROLE OVERVIEW We are looking for a skilled AI / Agent Engineer to build, integrate, and operate ... DevOps practices for ML or AI systems. * โ€ข Familiarity with responsible AI principles, bias ...

They are seeking an AI Agent Engineer to develop scalable and secure AI technologies, focusing on leveraging LLMs and creating complex agentic pipelines. Responsibilities : โ€ข AI Agent Building (60 ...

AI Agent Engineer

Stamford, CT ยท On-site

$140K - $180K/yr

Position Overview Valitana is seeking an AI Agent Engineer to support our product leads in identifying, designing, and prototyping AI-driven enhancements across our platforms. This role is ideal for ...

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 ...

Senior Principal AI Agent Engineer

Austin, TX ยท On-site

$196K - $269K/yr

Senior Principal AI Agent Engineer The Software Engineering team delivers next-generation software ... developer tooling. You will: * Design and build AI-driven engineering workflows using LLMs and ...

AI Agent Engineer

Chicago, IL ยท On-site +1

$125K - $175K/yr

We are hiring an AI Agent Engineer to be the technical engine behind this work. This is a hands-on, high-autonomy role: you will design, build, and deploy AI agent systems for clients, drive internal ...

AI Agent Engineer

Stamford, CT ยท On-site

$140K - $180K/yr

Position Overview Valitana is seeking an AI Agent Engineer to support our product leads in identifying, designing, and prototyping AI-driven enhancements across our platforms. This role is ideal for ...

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.

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 ...

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 ...

AI Agent Engineer

Austin, TX 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 ...

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 Staff AI Agent Engineer , you are a force multiplier for customer deployments and agent quality. You own complex ...

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Intern Ai Agent Developer information

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 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 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.

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.
More about Intern Ai Agent Developer jobs
What cities are hiring for Intern Ai Agent Developer jobs? Cities with the most Intern 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 Intern Ai Agent Developer jobs? States with the most job openings for Intern Ai Agent Developer jobs include:
Infographic showing various Intern Ai Agent Developer job openings in the United States as of June 2026, with employment types broken down into 74% Full Time, 17% Part Time, 1% Temporary, 7% Contract, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.

AI / Agent Engineer

Qode

NJ โ€ข On-site

$15.25 - $20.25/hr

Full-time

Posted 14 days ago


Job description

ROLE OVERVIEW
We are looking for a skilled AI / Agent Engineer to build, integrate, and operate intelligent agentic systems that power automation and AI-driven experiences across our fintech platform. You will work within a cross-functional AI Pod, developing agent workflows, integrating LaunchDarkly for feature management, and ensuring robust observability across all AI systems. You will collaborate closely with architects and senior engineers to deliver high-quality agentic solutions.
KEY RESPONSIBILITIES
  • Design, develop, and deploy AI Agent workflows using LLM-based orchestration frameworks (LangChain, AutoGen, CrewAI, or similar).
  • Integrate LaunchDarkly for feature flagging, progressive rollouts, and experimentation across AI-enabled features.
  • Implement comprehensive telemetry, logging, distributed tracing, and monitoring for AI agent systems.
  • Build and maintain A/B testing and experimentation frameworks to evaluate agent performance and model outputs.
  • Develop REST and event-driven integrations to connect AI agents with enterprise data sources and downstream systems.
  • Author technical documentation including agent design specs, integration guides, and architecture deliverables.
  • Participate in sprint ceremonies, contribute to backlog grooming, and deliver iteratively within an Agile framework.
  • Support incident response, root-cause analysis, and continuous improvement for production AI systems.

REQUIRED SKILLS & EXPERIENCE
  • 8+ years of software engineering experience with at least 1+ year(s) focused on AI/ML or agentic systems.
  • Proficiency in Python (primary) and familiarity with TypeScript or Java for integration layers.
  • Hands-on experience developing AI Agents using LangChain, AutoGen, CrewAI, or comparable frameworks.
  • Working knowledge of LaunchDarkly or equivalent feature flagging / experimentation platforms.
  • Experience implementing observability stacks: OpenTelemetry, Datadog, Grafana, Prometheus, or similar.
  • Understanding of LLM APIs (OpenAI, Anthropic, Azure OpenAI) and prompt engineering best practices.
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and containerized deployments (Docker, Kubernetes).
  • Strong communication skills with the ability to produce clear technical documentation.

PREFERRED QUALIFICATIONS
  • Experience in financial services, banking, or fintech environments.
  • Exposure to vector databases (Pinecone, Weaviate, pgvector) and RAG (Retrieval-Augmented Generation) architectures.
  • Exposure to CI/CD pipelines and DevOps practices for ML or AI systems.
  • Familiarity with responsible AI principles, bias testing, and model evaluation frameworks.