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Ai Agent Developer Jobs (NOW HIRING)

Vertech

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 ...

Lennar Homes

AI Agent Developer

Miami, FL · On-site

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.

Lennar

AI Agent Developer

Bentonville, AR

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 ...

Lennar

AI Agent Developer

Miami, FL

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 ...

Lennar

AI Agent Developer

Miami, FL · On-site

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 ...

Spruce Infotech

AI Agent Developer

Lincolnshire, IL · On-site

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 ...

Weekday AI

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 ...

Google

Staff Applied AI Agent Developer

Sunnyvale, CA · 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.

Saransh Inc

Agentic AI Developer

Jersey City, NJ · On-site

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 ...

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.

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How much do ai agent developer jobs pay per year?

As of Jun 29, 2026, the average yearly pay for ai agent developer in the United States is $47,930.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,000.00 and $51,000.00 per year, depending on experience, location, and employer.

What is an AI Agent Developer job?

An AI Agent Developer designs, builds, and optimizes intelligent software agents that can autonomously perform tasks, make decisions, and interact with users or other systems. This role involves working with machine learning, natural language processing, reinforcement learning, and multi-agent systems to create adaptive and efficient AI solutions. Developers in this field often utilize frameworks like LangChain, AutoGPT, or OpenAI API to enhance agent capabilities. Their work spans various industries, including customer service automation, finance, gaming, and robotics.

What are some common challenges faced by AI Agent Developers in their daily work?

AI Agent Developers often encounter challenges such as managing large and complex datasets, optimizing agent performance, and ensuring models behave ethically and reliably in unpredictable environments. It’s common to iterate frequently on prototypes, test against edge cases, and fine-tune algorithms based on real-world feedback. Collaboration with data scientists, software engineers, and stakeholders is crucial to understand project goals and adapt solutions accordingly. Overcoming these challenges requires technical flexibility, persistence, and a strong teamwork mindset.

Is AI agent developer a good career?

AI agent developer is a growing field focused on creating intelligent systems that can perform tasks autonomously. It typically requires skills in programming, machine learning, and data analysis, with job prospects improving as AI technology advances. The role offers opportunities in various industries such as tech, healthcare, and finance, often with competitive salaries and demand for specialized knowledge.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer, AI research director, or chief AI officer, often found in large tech companies or specialized firms. These roles usually require advanced skills in machine learning, deep learning, and data science, along with extensive experience and sometimes advanced degrees. Compensation at this level may include base salary, bonuses, stock options, and other benefits, reflecting the role's seniority and impact.

What are the key skills and qualifications needed to thrive in the Ai Agent Developer position, and why are they important?

To thrive as an AI Agent Developer, you need strong programming skills (particularly in Python), a deep understanding of machine learning concepts, and a relevant degree in computer science or a related field. Expertise with AI development frameworks (such as TensorFlow, PyTorch, or OpenAI Gym), cloud platforms, and potentially certifications in AI or data science are common requirements. Creative problem-solving, effective teamwork, and strong communication skills help distinguish top performers in this role. These competencies are essential to designing, implementing, and refining intelligent agents that function reliably in real-world applications.

How much does an AI agent developer make?

AI agent developers typically earn a salary ranging from $80,000 to $150,000 annually, depending on experience, location, and skill level. Professionals with expertise in machine learning, natural language processing, and programming languages like Python tend to command higher salaries, especially in tech hubs or companies with advanced AI projects.

Are AI agents replacing developers?

AI agents are tools that can assist developers by automating repetitive tasks and improving efficiency, but they are not replacing developers entirely. The role of a developer involves complex problem-solving, creativity, and decision-making that AI cannot fully replicate. Developers continue to be essential for designing, maintaining, and overseeing AI systems and other software projects.
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Ai Agent Developer jobs near you
Infographic showing various Ai Agent Developer job openings in the United States as of June 2026, with employment types broken down into 67% Full Time, 28% Part Time, and 5% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $47,930 per year, or $23 per hour.
AI Agent Developer

AI Agent Developer

Vertech

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.

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