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Assistant Ai Agent Developer Jobs (NOW HIRING)

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 ...

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.

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 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 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 ...

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 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.

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 ...

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.

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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.
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Infographic showing various Assistant Ai Agent Developer job openings in the United States as of June 2026, with employment types broken down into 76% Full Time, 22% Part Time, and 2% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.
AI Agent Developer

Full-time

Posted 15 days ago


Key responsibilities

  • Build, deploy, and support AI agents and automation workflows for business-specific use cases.

  • Design, test, and optimize prompts, tools, memory strategies, and agent workflows.

  • Partner with stakeholders across departments to gather requirements and translate them into technical specifications.


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.