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Assistant Ai Agent Developer Jobs (NOW HIRING)

AI Agent Developer (LLM Specialist) Role Overview The AI Agent Developer is responsible for designing, building, and deploying intelligent autonomous or semi-autonomous agents powered by Large ...

AI Agent Developer

Sunnyvale, CA ยท On-site

$112K - $160K/yr

Job Responsibilities: * Assist in developing and deploying AI agents using modern frameworks and APIs * Collaborate with business users and senior developers to design agent workflows and decision ...

Collaborate with stakeholders (product owners, business analysts, and engineers) to identify use cases for AI agent development and automation opportunities. * Contribute to the design of agent ...

AI Agent Developer

Sunnyvale, CA ยท On-site

$112K - $160K/yr

Job Responsibilities: * Assist in developing and deploying AI agents using modern frameworks and APIs * Collaborate with business users and senior developers to design agent workflows and decision ...

Collaborate with stakeholders (product owners, business analysts, and engineers) to identify use cases for AI agent development and automation opportunities. * Contribute to the design of agent ...

AI Agent Developer (LLM Specialist) Role Overview The AI Agent Developer is responsible for ... Experience building chatbots, copilots, or domain-specific assistants. * Knowledge of event-driven ...

AI Agent Developer

Tampa, FL ยท On-site +1

AI Agent Developer (LLM Specialist) Role Overview The AI Agent Developer is responsible for ... Experience building chatbots, copilots, or domain-specific assistants. * Knowledge of event-driven ...

Your Responsibilities on the Team Collaborate with stakeholders (product owners, business analysts, and engineers) to identify use cases for AI agent development and automation opportunities.

Job Responsibilities: * Assist in developing and deploying AI agents using modern frameworks and APIs * Collaborate with business users and senior developers to design agent workflows and decision ...

Collaborate with stakeholders (product owners, business analysts, and engineers) to identify use cases for AI agent development and automation opportunities. * Contribute to the design of agent ...

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 ...

AI Agent Developer

Sunnyvale, CA ยท On-site

$112K - $160K/yr

Job Responsibilities: * Assist in developing and deploying AI agents using modern frameworks and APIs * Collaborate with business users and senior developers to design agent workflows and decision ...

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 ...

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Assistant Ai Agent Developer information

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

To thrive as an Assistant AI Agent Developer, you need a solid background in programming (especially Python), machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, version control systems like Git, and APIs is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork are essential soft skills for success in this role. These skills ensure the development of robust, efficient AI agents and smooth collaboration within multidisciplinary teams.

What are the typical collaboration practices for an Assistant AI Agent Developer within a software development team?

As an Assistant AI Agent Developer, you'll frequently collaborate with data scientists, senior developers, and product managers to design, test, and refine AI agents. You'll often participate in code reviews, daily standups, and brainstorming sessions to ensure that the AI solutions align with project goals and user needs. Effective communication and teamwork are essential, as you may need to integrate your code with other systems or adapt to evolving project requirements. Working with cross-functional teams not only helps in troubleshooting but also provides valuable learning opportunities to advance your skills.

What is an Assistant AI Agent Developer?

An Assistant AI Agent Developer is a professional who designs, develops, and maintains AI-powered virtual assistants or chatbot systems. Their work involves programming conversational agents, integrating natural language processing (NLP) technologies, and ensuring the agent can understand and respond to user queries effectively. They may also be responsible for training the AI using data, testing the assistant's performance, and deploying updates for improved accuracy and functionality. This role often requires knowledge of programming languages such as Python, familiarity with AI frameworks, and understanding of user experience design.
More about Assistant Ai Agent Developer jobs
What cities are hiring for Assistant Ai Agent Developer jobs? Cities with the most Assistant 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 Assistant Ai Agent Developer jobs? States with the most job openings for Assistant Ai Agent Developer jobs include:
Infographic showing various Assistant Ai Agent Developer job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 25% Full Time, 67% Part Time, and 7% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.
AI Agent Developer

AI Agent Developer

ClearlyAgile

Tampa, FL โ€ข Remote

Full-time

Posted 9 days ago


Job description

AI Agent Developer (LLM Specialist)

Role Overview
The AI Agent Developer is responsible for designing, building, and deploying intelligent autonomous or semi-autonomous agents powered by Large Language Models (LLMs). This role focuses on enabling complex workflows, reasoning capabilities, system integration, and secure data interaction across enterprise environments.

Key Responsibilities