Headquartered in Irvine, California, EBizCharge specializes in developing integrated payment solutions that facilitate electronic payment processing within ERP, CRM, Mobile, and eCommerce applications. Our applications are PCI compliant and fully integrated with major ERP/accounting systems, including QuickBooks, Sage, SAP Business One, Microsoft Dynamics, NetSuite, Epicor, Acumatica, and major online shopping carts, including Magento and WooCommerce. EBizCharge offers its employees tremendous learning opportunities, career growth potential, and a dynamic work environment.
Summary
As a Senior AI Developer, you will design, develop, and maintain secure and scalable Model Context Protocol (MCP) Servers that expose external capabilities to AI assistants. You will create and integrate tools that enable AI agents particularly those deployed through Azure AI Foundry to interact with external systems, databases, and APIs. This role combines deep technical expertise in cloud infrastructure, AI tool design, and system security to empower next-generation AI-driven solutions for internal and client-facing applications.
Responsibilities
- Design, develop, and maintain MCP servers that expose external tools and capabilities to AI assistants.
- Implement specific MCP tools (functions) for reading files, managing issues, interacting with databases, or triggering complex workflows.
- Define and structure resources, schemas, and prompts accessible to AI agents.
- Ensure security and access control for the MCP server, limiting which tools and data agents can execute or access.
- Manage API integrations and external data sources used by MCP tools.
- Use JSON Schema or similar standards to document and validate tool definitions.
- Integrate MCP Server tools with Azure AI Foundry agents, enabling AI agents to perform actions such as data querying, workflow automation, and API interaction.
- Collaborate with product managers and front-end teams to integrate AI capabilities into user-facing platforms (e.g., Microsoft Copilot, VS Code extensions, or web portals).
- Utilize Azure Functions, Azure Logic Apps, and Azure Cognitive Services to connect MCP-based AI workflows to enterprise systems.
- Develop and manage tools that interface with Azure resources (e.g., Azure Storage, Azure SQL, Azure Compute Services) through the MCP Server.
- Enable AI agents to securely manage, retrieve, and utilize Azure resources.
- Apply best practices in cloud security, authentication, and API permissions management.
- Conduct comprehensive testing and debugging of MCP tools and Azure integrations.
- Create detailed documentation for MCP tools, including usage examples, API specifications, and integration guides.
- Ensure scalability, performance, and reliability of MCP and AI Foundry deployments.
- Partner with AI engineers, cloud architects, and data scientists to align tool development with strategic goals.
- Present technical solutions and architectural decisions to stakeholders in clear, actionable terms.
- Contribute to the AI governance framework, ensuring responsible AI tool design and usage.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
- 5+ years of experience in AI development.
- Proven track record of deploying secure, production-grade AI cloud-integrated systems.
- Hands-on experience designing or integrating MCP Servers or agent tool frameworks.
Technical Skills
- Strong coding ability in Python; familiarity with R is a plus.
- Experience with ML/DL libraries: TensorFlow, PyTorch, Scikit-learn, Keras.
- Familiarity with frameworks for RESTful API or microservice development (e.g., FastAPI, Flask, .NET Core).
- Understanding of how large language models (LLMs) interact with tools, contexts, and external APIs.
- Knowledge of AI agent architectures and prompt engineering for tool-enabled reasoning.
- Strong experience with Azure, especially Azure AI Foundry, Azure OpenAI Service, Azure Functions, and Azure Storage.
- Familiarity with AWS or GCP is a plus.
- Experience with CI/CD pipelines, Git, and containerized deployment (Docker, Kubernetes).
- Knowledge of authentication mechanisms (OAuth, API Keys, Managed Identity).
- Experience in defining and enforcing access control policies for AI tools and APIs.
- Understanding data privacy and compliance in AI systems.
Required Experience
- Prior work on intelligent assistants, AI copilots, or MCP-based integrations.
- Background in designing agentic AI systems or tool-augmented LLMs.
- Familiarity with LangChain, Semantic Kernel, or other AI orchestration frameworks.
- Experience in AI-driven workflow automation, knowledge retrieval, or business process orchestration.
- Excellent problem-solving and analytical thinking.
- Strong communication skills, with the ability to explain complex systems clearly.
- Proactive collaboration in fast-paced, cross-functional environments.
- Commitment to innovation, security, and responsible AI development.
Benefits
- Employer paid benefits (including Medical, Dental, Vision, & life insurance) for selected plans for the employee.
- Retirement 401(k) plan with company match.
- Gym access, dry cleaners, car wash conveniently located within building.
- Generous PTO plan with an additional 9 Days Company Paid Holidays per year.
Job Type: Full-time
The Company is committed to compliance with all applicable laws providing equal employment opportunities. This commitment applies to all persons involved in Company operations. The Company prohibits unlawful discrimination against any job applicant, employee, or unpaid intern by any employee of the Company, including supervisors and coworkers. Pay discrimination between employees of the opposite sex or between employees of another race or ethnicity performing substantially similar work, as defined by the California Fair Pay Act and federal law, is prohibited.
