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Commission Ai Agent Developer Jobs in Addison, IL

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 ...

Covista

Director- Applied AI

Lisle, IL · Hybrid

$250K/yr

Principal AI/Agent Architect, Responsible AI/Risk & Safety Lead, and AI Evaluation Engineer, and prepare the FY28 roadmap hires pending demonstrated value. * Cultivate a high-performing, inclusive ...

Covista

Director- Applied AI

Lisle, IL · On-site

$250K/yr

Principal AI/Agent Architect, Responsible AI/Risk & Safety Lead, and AI Evaluation Engineer, and prepare the FY28 roadmap hires pending demonstrated value. * Cultivate a high-performing, inclusive ...

Covista

Director- Applied AI

Lisle, IL · Hybrid

Principal AI/Agent Architect, Responsible AI/Risk & Safety Lead, and AI Evaluation Engineer, and prepare the FY28 roadmap hires pending demonstrated value. * Cultivate a high-performing, inclusive ...

project44

Staff Product Manager, Agentic AI

Chicago, IL · On-site

... engineering. * AI Agent Analytics & Reporting - the measurement layer (AI Agent Analytics, LunaIntel and LunaVoice dashboards, collaboration and carrier-performance reporting) that proves outcomes by ...

Lightedge

Sr. AI Integration Engineer

Chicago, IL · On-site

$107K - $144K/yr

AI Agent, Harness & Workflow Development: Design, develop, and maintain production-grade AI agents ... Engineering Standards: Contribute to codebases, deployment pipelines, support practices, and ...

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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 85% Full Time, 9% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 57% Physical, 1% Hybrid, and 42% Remote job distribution.

Google Cloud Platform Engineer / Devops with AI

Schaumburg, IL • On-site

Whiztek Corp
Software Development • 11 - 50 employees
Learn more about Whiztek Corpexternal

$52 - $71.25/hr

Other

Posted 8 days ago

Job description

Google Cloud Platform Engineer / Devops
Schaumburg, IL (Hybrid)

We are looking for experienced Google Cloud engineers with hands-on expertise in Gemini Enterprise Agent Platform (GEAP), Google's managed platform for building, deploying, governing, and scaling enterprise-grade AI agents. This is a hands-on, build-and-deploy role: you will design agent architectures, stand up production hosting infrastructure, integrate Model Context Protocol (MCP) servers and tools, and ensure our agents are secure, observable, and cost-efficient at scale.

What You'll Do

  • Design, build, and deploy AI agents on GEAP using Google's Agent Development Kit (ADK) or equivalent frameworks, including both pro-code and low-code (Agent Studio) approaches
  • Deploy agents to GEAP's fully-managed Agent Runtime, configuring short-term Sessions and long-term Memory Bank integration
  • Integrate and configure Model Context Protocol (MCP) servers — both Google-provided (e.g., Workspace MCP) and custom/third-party — as external agent tools
  • Stand up and manage multi-agent orchestration patterns (e.g., orchestrator/sub-agent graphs, Agent Fabric-style fleets) where specialized agents handle discrete tasks and coordinate via defined protocols
  • Configure Agent Gateway policies, authorization, and Agent Identity for secure, auditable, and traceable agent actions
  • Define and provision the Google Cloud Platform infrastructure needed to host agents: networking (VPC, Private Service Connect, hybrid/on-prem connectivity), IAM, compute (GKE, Agent Platform Endpoints), and OAuth/credential flows for production agent authentication
  • Set up Agent Evaluation, Agent Observability, and Agent Optimizer to monitor drift, trace performance issues, and control compute/token costs in production
  • Advise stakeholders on exactly what's required — licensing, APIs, IAM roles, network topology, compute sizing — to host AI agents on GEAP, and translate that into clear deployment runbooks
  • Troubleshoot production issues across the agent stack, from model/tool calls to networking and platform-level governance controls

Required Experience

  • Demonstrated hands-on experience with GEAP (or its predecessor, Vertex AI Agent Builder/Vertex AI Pipelines) — not just familiarity from documentation
  • Strong Google Cloud Platform fundamentals: IAM, VPC networking, GKE, Cloud Run or similar compute, Private Service Connect
  • Experience building or integrating MCP (Model Context Protocol) servers and tools
  • Experience with Google's Agent Development Kit (ADK) or comparable agent frameworks
  • Familiarity with agent orchestration concepts (multi-agent systems, task graphs, tool calling, sessions/memory)
  • Solid understanding of OAuth 2.0 flows and secure credential handling for production, server-side applications
  • Comfortable working with gcloud CLI, Google Cloud Console, and infrastructure-as-code tooling

Nice to Have

  • Experience with Google Workspace MCP servers and the Workspace Developer Preview Program
  • Background in ML/platform engineering or cloud architecture roles
  • Experience with third-party agent interoperability (e.g., Open Agent Network, Salesforce/ServiceNow agent integrations)
  • Google Cloud certifications (Professional Cloud Architect, Professional ML Engineer, etc.)
  • Experience with cost governance/optimization for high-volume agent workloads

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