EBizCharge
Senior AI Developer
Remote (United States) · Senior · Full-time
Sponsorship not specifiedDetected 19 days ago
PythonFastAPIFlask.NETGitSQLAWSGCPAzureCloud PlatformsDockerKubernetesCI/CDRESTOAuthMachine LearningTensorFlowPyTorchscikit-learnLLMsAgentic AIAI OrchestrationCybersecurityCompliance
About the role
- EBizCharge offers its employees tremendous learning opportunities, career growth potential, and a dynamic work environment.
Requirements
- Familiarity with LangChain, Semantic Kernel, or other AI orchestration frameworks.
- Experience in AI-driven workflow automation, knowledge retrieval, or business process orchestration.
- Strong communication skills, with the ability to explain complex systems clearly.
- Required Experience Prior work on intelligent assistants, AI copilots, or MCP-based integrations.
Nice to have
- Define and structure resources, schemas, and prompts accessible to AI agents.
- Utilize Azure Functions, Azure Logic Apps, and Azure Cognitive Services to connect MCP-based AI workflows to enterprise systems.
- Apply best practices in cloud security, authentication, and API permissions management.
- Conduct comprehensive testing and debugging of MCP tools and Azure integrations.
- Ensure scalability, performance, and reliability of MCP and AI Foundry deployments.
- Present technical solutions and architectural decisions to stakeholders in clear, actionable terms.
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
- 5+ years of experience in AI development.
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.
- Ensure security and access control for the MCP server, limiting which tools and data agents can execute or access.
Benefits
- 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.
Company info
- 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.
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This listing is sourced directly from EBizCharge's careers page and normalized into a canonical job model.