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Commission Ai Agent Developer Jobs in Virginia (NOW HIRING)

Tror AI for everyone

AI Agent Engineer

Mclean, VA · On-site

Job Title: - Senior AI Agent Engineer Location: - McLean, VA - 5 days onsite Employment Type: - Contract Need 10+ years of experience resumes and need locals to VA or nearby location. - We are ...

Trilagen

Senior Sales Executive - Agentic AI

Reston, VA · On-site

Cross-sell across all three Trilagen practices - AI Agent Engineering, Cloud (AWS & Oracle OCI), and Identity Security (Okta & SailPoint ISC). Every engagement is a door into the other two. Territory ...

Appian Corporation

AI Security Engineer

Mclean, VA · On-site

AI Security Engineer (Agentic SOC)In this role, you will: * Build & Deploy Agents: Design, test ... You understand that an AI agent is only as good as the guardrails keeping it from deleting a ...

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All JobsAi Agent Developer JobsCommission Ai Agent Developer JobsCommission Ai Agent Developer Jobs in Virginia

Commission Ai Agent Developer information

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 are Commission AI Agent Developers?

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.

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 are the most commonly searched types of Ai Agent Developer jobs in Virginia? The most popular types of Ai Agent Developer jobs in Virginia are:
What are popular job titles related to Commission Ai Agent Developer jobs in Virginia? For Commission Ai Agent Developer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Commission Ai Agent Developer jobs in Virginia look for? The top searched job categories for Commission Ai Agent Developer jobs in Virginia are:
What cities in Virginia are hiring for Commission Ai Agent Developer jobs? Cities in Virginia 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 Virginia as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution.

AI Agent Engineer

Tror AI for everyone

Mclean, VA • On-site

Contractor

Posted 8 days ago

Job description

Job Title: - Senior AI Agent Engineer

Location: - McLean, VA - 5 days onsite

Employment Type: - Contract

Need 10+ years of experience resumes and need locals to VA or nearby location.

Job Description: -

We are seeking a forward-thinking AI SDLC Engineer to transform our development processes from linear automation to an agentic, multi-agent workflow. The ideal candidate will design, build, and deploy specialized AI subagents (e.g., using frameworks like LangChain, CrewAI, or Claude Code) that collaborate to create production-grade software. You will enable AI to handle specialized tasks—architecture planning, frontend/backend development, debugging, and security reviews—while maintaining context isolation. Responsibilities

• Subagent Architecture & Creation: Design and implement task-specific AI subagents (e.g., ""Code Reviewer,"" ""SQL Expert,"" ""Frontend Builder"") with dedicated system prompts, tool access, and context boundaries.

• Orchestration & Workflow Automation: Build orchestration logic to manage the lifecycle of subagents (initialization, delegation, execution, and cleanup) using agentic frameworks.

• AI-Driven SDLC Integration: Implement agentic workflows across the entire SDLC, from requirements gathering and architecture design to automated testing, code review, and deployment.

• Context & Memory Management: Optimize AI performance by isolating noisy, long-running tasks into subagents, ensuring the main agent remains efficient and context-aware.

• Tooling & Integration: Integrate AI agents with internal development tools, including Bitbucket, Jira, ServiceNow and CI/CD pipelines.

• Performance Evaluation: Monitor, evaluate, and refine agentic workflows to improve code quality, reduce toil, and accelerate release cycles