ZipRecruiter

Log In

1

Commission Ai Agent Developer Jobs (NOW HIRING)

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.

SATCON Inc

GenAI / AI Agent Engineer

Dallas, TX · On-site

$15 - $19.75/hr

We are looking for a skilled GenAI / AI Agent Engineer with strong hands-on experience in Kero.AI and AWS. The ideal candidate should have experience designing and developing AI agents, integrating ...

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 ...

General Motors

AI Agent Engineer

Austin, TX · 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 ...

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 ...

General Motors

AI Agent Engineer

Warren, MI · On-site

$14 - $18.75/hr

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 ...

Thomas Talent Network

AI Agent Engineer

New York, NY · On-site

$200K - $300K/yr

About the Role Building its voice AI agent infrastructure in-house and needs an AI Agent Engineer to own it end-to-end. You'll build on top of LiveKit, design the orchestration layer, own the ...

Liberate

Staff AI Agent Engineer

San Francisco, CA · Hybrid

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 ...

Liberate

Staff AI Agent Engineer

San Francisco, CA · On-site

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 ...

Liberate

Staff AI Agent Engineer

Boston, MA · Hybrid

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 ...

Cherry Bekaert LLP

The AI Agent & Automation Developer will have the opportunity to work in a hybrid model from any of Cherry Bekaert's US office locations. We are seeking a talented and motivated AI Agent & Automation ...

previous page

Showing results 41-60

All JobsTechnology JobsSoftware JobsSoftware Developer JobsCommission Ai Agent Developer Jobs

Commission Ai Agent Developer information

What is a Commission AI Agent Developer?

Commission AI Agent Developers are professionals who design, build, and deploy artificial intelligence (AI) agents that operate on a commission-based model. These developers create AI systems—such as chatbots, sales agents, or customer service bots—that help automate tasks and drive results, often earning a commission or fee based on the performance or outcomes generated by their agents. They typically possess skills in AI programming, machine learning, and automation, and work with clients to tailor solutions that meet specific business goals. The demand for Commission AI Agent Developers is growing as more businesses adopt AI-driven technologies to enhance productivity and sales. Their work often involves continuous optimization and monitoring to ensure the AI agents remain effective and profitable.

How does a Commission AI Agent Developer typically collaborate with sales and marketing teams to optimize agent performance?

As a Commission AI Agent Developer, you will frequently work alongside sales and marketing teams to tailor AI agents that effectively engage prospects and customers. This collaboration involves gathering feedback on agent interactions, analyzing performance metrics, and iterating on conversational scripts or algorithms to drive conversions. Regular meetings and data sharing ensure that the AI agents align with evolving business goals and customer preferences, making cross-functional communication a key aspect of the role. This dynamic environment allows you to see the direct impact of your work on sales outcomes while also fostering your own technical and business skills.

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

To thrive as a Commission AI Agent Developer, you need strong programming skills (often in Python), experience with machine learning frameworks, and a solid understanding of AI concepts, typically backed by a relevant degree or equivalent experience. Familiarity with AI development tools such as TensorFlow, PyTorch, and cloud platforms like AWS or Azure is commonly required. Exceptional problem-solving abilities, adaptability, and clear communication set candidates apart in this role. These skills are crucial for building effective AI agents that meet client needs and drive successful commission-based projects.

What is the difference between Commission Ai Agent Developer vs Chatbot Developer?

AspectCommission Ai Agent DeveloperChatbot Developer
Required CredentialsBachelor's in Computer Science, AI certificationsBachelor's in Computer Science, AI or software development certifications
Work EnvironmentAI development teams, financial or sales industriesCustomer service, tech companies, various industries
Employer & Industry UsageFinancial services, sales automationCustomer support, marketing, e-commerce
Comparison Search IntentUnderstanding AI-driven commission systemsBuilding conversational agents for customer interaction

The main difference is that Commission Ai Agent Developers focus on creating AI systems that automate commission calculations and sales processes, often within financial or sales industries. Chatbot Developers design conversational agents for customer support or engagement across various sectors. While both roles involve AI and programming skills, their applications and industry focus differ significantly.

More about Commission Ai Agent Developer jobs

What cities are hiring for Commission Ai Agent Developer jobs?

Cities with the most Commission 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 Commission Ai Agent Developer jobs?

States with the most job openings for Commission Ai Agent Developer jobs include:

What are popular job titles related to Commission Ai Agent Developer jobs?

For Commission Ai Agent Developer jobs, the most frequently searched job titles are:

Commission Ai Agent Developer jobs near you
Infographic showing various Commission Ai Agent Developer job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 83% Full Time, 10% Part Time, and 6% Contract. Highlights an 70% Physical, 1% Hybrid, and 29% Remote job distribution.

Python AI Agent Developer - Dallas, TX

Dallas, TX • On-site

Photon
IT Services • 1 - 10 employees
Learn more about Photonexternal

$49.75 - $68.50/hr

Full-time

Re-posted 4 days ago

Job description


Python Developer 3 to 4 Years (Framework Development & Agentic AI nice to have)
We are building next-generation intelligent systems powered by AI and automation. Our team is looking for a skilled Python Developer with deep expertise in framework design and exposure to Agentic AI systems. You will play a pivotal role in architecting scalable frameworks, APIs, and integrations while enabling AI-driven agents to perform complex workflows securely and efficiently.
Key Responsibilities:
Design, develop, and maintain Python frameworks that provide reusable components and structure for applications.
Architect modular, scalable, and extensible frameworks for APIs, data processing, or AI integrations.
Implement best practices in software engineering: OOP, design patterns, modular architecture.
Develop APIs and SDKs for framework adoption across teams.
Collaborate with AI engineers to integrate Agentic AI systems (e.g., AI agents, LLM orchestration frameworks like LangChain, LlamaIndex, Google ADK).
Ensure security, reliability, and observability of framework components.
Write unit/integration tests and maintain CI/CD pipelines.
Document frameworks, APIs, and libraries for developer adoption.
Participate in code reviews, mentor junior developers, and contribute to technical design discussions.
Required Skills & Experience:
Strong proficiency in Python (3.x), with focus on OOP and modular design.
Proven experience in building frameworks, libraries, or SDKs (not just applications).
Expertise in design patterns, dependency injection, and plugin-based architectures.
Experience with FastAPI, Flask, Django or similar web frameworks.
Solid understanding of APIs (REST, GraphQL) and API gateway integration.
Knowledge of async programming (asyncio, aiohttp).
Proficiency in testing frameworks (PyTest, unittest) and CI/CD workflows.
Strong grasp of security practices (OAuth2, JWT, IAM integration).
Familiarity with cloud platforms (GCP, Azure, AWS) for deploying frameworks.
Nice to Have:
Experience with Agentic AI frameworks (LangChain, LlamaIndex, Google ADK, AutoGen).
Knowledge of LLM fine-tuning, prompt engineering, and guardrails.
Exposure to event-driven architectures (Kafka, Pub/Sub, Redis Streams).
Experience with observability tools (Prometheus, OpenTelemetry, Cloud Logging).
Contributions to open-source Python frameworks or libraries.
Ideal Candidate:
A framework builder mindset - you enjoy designing systems other developers will use.
Passionate about AI and automation, eager to experiment with agent-driven architectures.

Apply