Key skills
AWSAzureCloudDockerFlaskGoogle Cloud PlatformKerasKubernetesPythonPyTorchScikit-LearnSQLTensorflow.NETRAIArtificial IntelligenceMLLarge Language ModelsOpenAITensorFlowscikit-learnLangChainFastAPIGCPGoogle CloudAzure FunctionsAzure SQLLogic AppsOAuthRESTfulGitCI/CDCommunicationCollaborationCloud Security
About this role
Role Overview
- 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.
Requirements
- 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.
- 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.
- 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.
Tech Stack
- AWS
- Azure
- Cloud
- Docker
- Flask
- Google Cloud Platform
- Keras
- Kubernetes
- Python
- PyTorch
- Scikit-Learn
- SQL
- Tensorflow
- .NET
Benefits
- 100% 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.