The Senior C# Developer will lead AI enablement by transforming APIs into an Agent Mesh using C# and the MCP, ensuring secure AI interactions through Gravitee management.
This is a remote position.
We are looking for a forward-thinking Developer to lead our AI enablement strategy. You will be responsible for transforming our existing API ecosystem into a machine-readable "Agent Mesh." Using C#/.NET and the Model Context Protocol (MCP), you will build and manage the infrastructure that allows AI agents (like Claude or custom autonomous agents) to securely discover, interact with, and execute business logic through our Gravitee API gateway.
Key Responsibilities
- MCP Server Development: Design and build custom MCP servers using C# and .NET to expose internal data and tools to LLMs.
- API Management & Governance: Use Gravitee 4.9+ MCP Server capabilities to turn standard REST APIs into AI-ready tools via OpenAPI specifications.
- Security & Authorization: Implement MCP Authentication using OAuth 2.1 and Gravitee Access Management (AM) to ensure AI agents operate within secure boundaries.
- Orchestration: Configure Gravitee's native MCP Server application types to centralize how various AI models access enterprise resources.
- Observability: Monitor agent-to-API communications using Gravitee to debug tool calls, apply rate limits, and ensure the reliability of agentic workflows.
Technical Qualifications
- Expertise in C# / .NET: Deep experience building robust back-end services, SDKs, and integration layers.
- Model Context Protocol (MCP): Hands-on experience with the MCP standard for connecting AI models to external data sources.
- Gravitee Ecosystem: Proficiency in Gravitee API Management (APIM), including policy design, security plans, and the new MCP Tool Server.
- API Standards: Expert knowledge of REST, OpenAPI/Swagger, and asynchronous event-driven architectures.
- Python: Good knowledge of Python is a great plus.
- AI Knowledge: Understanding of LLM "tooling" (function calling), prompt engineering, and the lifecycle of autonomous AI agents.
Preferred Skills
- Experience with OpenFGA or fine-grained authorization for agentic systems.
- Familiarity with Agent Mesh architectures.
- Contributions to open-source MCP servers or AI integration frameworks.
Similar Jobs
Artificial Intelligence • Blockchain • Digital Media • Information Technology
Develop and maintain .NET Core trading systems for Linux with service-oriented architecture and multi-threaded processing. Implement async, lock-free structures and distributed systems, write unit and integration tests, optimize SQL queries, design data structures and algorithms, and work with communication protocols (SignalR, gRPC, HTTP). Use PostgreSQL, Docker, and AWS in the deployment stack.
Top Skills:
.Net CoreAsp.Net CoreAWSC#DockerGrpcHttp(S)JSONMstestNatsNunitPostgresProtobufSignalrSQLXMLXunit
Energy • Utilities • Renewable Energy
Lead design and technical execution of protection and control (P&C) systems for substations (4kV–500kV). Develop and review protection schemes, one-line/three-line/AC‑DC schematics, perform equipment selection/specification, ensure NERC/IEEE/NEC compliance, support construction and commissioning, conduct QA/QC and peer reviews, coordinate with stakeholders, and mentor junior engineers throughout the project lifecycle.
Top Skills:
AbbAutocadBluebeamGeIeeeMicrostationNecNercScadaSelSiemens
Artificial Intelligence • Automotive • Computer Vision • Internet of Things • Robotics
Design, implement, and optimize robotics software and system integration for autonomous tuggers using C++ and ROS/ROS2. Develop state management, health monitoring, CAN communications, firmware updates, containerized deployments, performance profiling, automated testing, and system provisioning. Troubleshoot hardware/software/network issues and collaborate across teams to integrate perception, localization, and control systems while documenting architecture and procedures.
Top Skills:
AnsibleC++Camera PerceptionCan BusContainer EnvironmentsCudaDockerFirmwareHigh-Performance ComputingLidarNetworking ProtocolsPodmanPythonRosRos2Shell ScriptingUbuntu
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
