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Commission Ai Agent Developer Jobs in Addison, IL

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 ...

BMO Financial

Software Developer (AI Agents)

Chicago, IL · On-site

$81K - $151K/yr

Technology MUST HAVE experience coding multi-agent AI assets, hands on software development with a ... For commission roles, the salary listed above represents BMO Financial Group's expected target for ...

Bank of Montreal

Software Developer (AI Agents)

Chicago, IL · On-site

$81K - $151K/yr

Technology MUST HAVE experience coding multi-agent AI assets, hands on software development with a ... For commission roles, the salary listed above represents BMO Financial Group's expected target for ...

Bank of Montreal

Software Developer (AI Agents)

Chicago, IL · On-site

$81K - $151K/yr

Technology MUST HAVE experience coding multi-agent AI assets, hands on software development with a ... For commission roles, the salary listed above represents BMO Financial Group's expected target for ...

Medium

Senior AI Engineer

Chicago, IL · On-site

$148 - $203.50/hr

Agent teams can build faster because core infrastructure, standards, and patterns are already in ... Prior experience building internal platforms , shared services, developer tooling, or reusable ...

VeeRteq Solutions Inc.

Agentic AI Engineer

Chicago, IL · On-site

Knowledge of MCP, tool calling, function calling, and agent orchestration * Experience with SQL and enterprise databases * Docker, Kubernetes, CI/CD, and DevOps * Experience deploying AI solutions in ...

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All JobsAi Agent Developer JobsCommission Ai Agent Developer JobsCommission Ai Agent Developer Jobs in Addison, IL

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.

What job categories do people searching Commission Ai Agent Developer jobs in Addison, IL look for?

The top searched job categories for Commission Ai Agent Developer jobs in Addison, IL are:

What cities near Addison, IL are hiring for Commission Ai Agent Developer jobs?

Cities near Addison, IL with the most Commission Ai Agent Developer job openings:

Commission Ai Agent Developer jobs near you
Infographic showing various Commission Ai Agent Developer job openings in Addison, IL as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 67% Physical, 1% Hybrid, and 32% Remote job distribution.

AI Agent Developer

Spruce Infotech

Lincolnshire, IL • On-site

Contractor

Re-posted 16 days ago

Job description

This role focuses on the design, development, and deployment of AI agents that support business operations, automation, and customer-facing use cases. The ideal candidate brings hands-on experience building and deploying AI-driven solutions in real-world environments, with the ability to translate business needs into scalable, production-ready agent architectures.
Key Responsibilities
  • Design, develop, and deploy AI agents using modern LLM platforms (e.g., OpenAI, Claude, Gemini, Azure AI)
  • Implement agent architectures including tool use, multi-step workflows, and retrieval-augmented generation (RAG) patterns
  • Integrate AI agents with enterprise systems, APIs, and data sources
  • Develop and maintain reusable components such as prompt libraries, evaluation frameworks, and agent workflows
  • Support deployment and lifecycle management, including monitoring, versioning, and performance tuning
  • Implement guardrails, validation, and security practices to ensure responsible AI usage
  • 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 Skills & Experience
  • 5+ years of software development experience, including hands-on work with AI/LLM-based solutions
  • Proficiency in Python and/or JavaScript/TypeScript
  • Experience building and deploying AI agents or LLM-driven applications in production environments
  • Strong understanding of LLM concepts, prompt engineering, and agent design patterns
  • Experience integrating APIs, data sources, and backend services into AI workflows
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and modern development practices
  • Strong communication skills and ability to work with both technical and non-technical stakeholders

Preferred Skills & Experience
  • Experience with agent frameworks (e.g., LangChain, LangGraph, Semantic Kernel)
  • Familiarity with vector databases, embeddings, and RAG architectures
  • Experience with CI/CD pipelines, containerization, or cloud-native deployment models
  • Exposure to AI observability, evaluation, or testing frameworks
  • Experience implementing AI security practices (e.g., prompt injection mitigation, data protection)

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