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Full Time 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 ...

Valitana LLC

AI Agent Engineer

Stamford, CT · On-site

AI Agent Engineer About Valitana Valitana is a rapidly growing FinTech company delivering cutting-edge SaaS solutions to institutional investors. Founded in 2017, our platform provides advanced ...

LaunchPad Lab

AI Agent Engineer

Chicago, IL · Remote

$125K - $175K/yr

We are hiring an AI Agent Engineer to be the technical engine behind this work. This is a hands-on ... Compensation This role is available as a full-time position or a long-term contract engagement. We ...

Valitana LLC

AI Agent Engineer

Stamford, CT · On-site

$16 - $21.25/hr

Position Overview Valitana is hiring its first dedicated AI Agent Engineer -- a founding role that will define how artificial intelligence is designed, built, and governed across our platforms. This ...

LaunchPad Lab

AI Agent Engineer

Chicago, IL · 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 ... Compensation This role is available as a full-time position or a long-term contract engagement. We ...

IntelePeer

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 ...

IntelePeer

AI Agent Engineer

Dania Beach, FL · 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 ...

Photon

Python AI Agent Developer - Dallas, TX

Dallas, TX · 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.

Tessera Labs

AI Agent Engineer

San Jose, CA · On-site

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

CSA Group

Junior AI Agent Developer

San Juan, PR · Remote

$68K - $89K/yr

Familiarity with prompt engineering, AI agents/chatbots, or workflow automation. * Basic understanding of APIs, data structures, and system integrations. * Experience with process improvement or ...

Liberate

Principal AI Agent Engineer

San Francisco, CA · On-site

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 ...

General Motors

AI Agent Engineer

Warren, MI · 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 ...

Diverse Lynx

AI Agent Engineer

Charlotte, NC · On-site

$14.75 - $19.50/hr

Diverse Lynx is seeking an AI Agent Engineer to design, develop, and support cloud-native automation and AI agent workflows. The role involves building AI agents, integrating automations with ...

General Motors

AI Agent Engineer

Warren, MI · On-site

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 ...

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All JobsAi Agent Developer JobsFull Time Ai Agent Developer Jobs

Full Time Ai Agent Developer information

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$29K

$47.9K

$99.5K

How much do full time ai agent developer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for full time 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 are some typical challenges Full Time AI Agent Developers face when deploying AI agents into production environments?

Full Time AI Agent Developers often encounter challenges such as ensuring the reliability and scalability of AI agents when moving from development to production. Integrating agents with existing systems, handling real-world data variability, and maintaining performance under changing workloads are common hurdles. Additionally, developers must prioritize model monitoring, updating, and compliance with data privacy standards, collaborating closely with DevOps, data engineers, and product managers. Proactively addressing these challenges ensures smoother deployments and ongoing agent effectiveness.

What are the key skills and qualifications needed to thrive as a Full Time AI Agent Developer, and why are they important?

To thrive as a Full Time AI Agent Developer, you need strong programming skills (especially in Python), a solid understanding of machine learning, deep learning, and natural language processing, typically supported by a degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and tools such as Git, as well as experience with APIs and cloud platforms, are commonly required. Creative problem-solving, collaboration, and adaptability are valuable soft skills that set top candidates apart. These skills ensure the effective design, implementation, and continuous improvement of intelligent agents in a dynamic and evolving technology landscape.

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

AspectFull Time Ai Agent DeveloperMachine Learning Engineer
CredentialsBachelor's in CS, AI, or related field; experience with AI frameworksBachelor's or higher in CS, Data Science, or related; strong programming skills
Work EnvironmentDeveloping AI agents for chatbots, virtual assistants, or automation toolsDesigning and deploying machine learning models for various applications
Industry UsageTech companies, customer service, automation firmsTech, finance, healthcare, research institutions

While both roles involve AI and programming, Full Time Ai Agent Developers focus on creating interactive AI agents for specific applications, whereas Machine Learning Engineers develop broader machine learning models for diverse data-driven solutions.

What does a Full Time AI Agent Developer do?

A Full Time AI Agent Developer is responsible for designing, building, and maintaining artificial intelligence systems known as 'agents' that can perform tasks autonomously or assist humans in decision-making. This role involves programming, working with machine learning models, and integrating AI agents into software applications. Developers often collaborate with data scientists, engineers, and stakeholders to ensure the AI agents meet user needs and function reliably in real-world environments.
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Full Time Ai Agent Developer jobs near you
AI Agent Developer

AI Agent Developer

Vertech

Full-time

Re-posted 25 days ago

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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