What You'll Do:
MCP Development & Implementation
Design and develop MCP servers for various data sources (databases, APIs, file systems, cloud services).
Build and maintain MCP client integrations for AI applications and platforms.
Implement secure authentication and authorization mechanisms for MCP connections.
Develop custom MCP tools and resources to extend AI capabilities.
Architecture & Design
Architect scalable MCP solutions that handle high-volume data access patterns.
Design efficient protocol implementations that minimize latency and maximize throughput.
Create reusable MCP components and libraries for internal and external use.
Establish best practices for MCP server development and deployment.
Integration & Collaboration
Integrate to our identity platform.
Work with DevOps teams to deploy and monitor MCP services in production environments.
Partner with security teams to ensure MCP implementations meet compliance and security requirements.
Integrate MCP solutions with existing infrastructure and third-party services.
Quality & Performance
Write comprehensive tests for MCP implementations including unit, integration, and end-to-end tests.
Monitor and optimize MCP server performance and resource utilization.
Debug complex issues in distributed MCP environments.
Maintain detailed documentation for MCP servers and integration patterns.
Contribute to Open Source
Engage with the open-source community, contributing to the development and improvement of MCP.
Where You'll Be: Tel Aviv | Full-time, hybrid.
What We're Looking For:
3+ years of software engineering experience with backend systems.
Strong proficiency in Python, TypeScript/Node.js, or Go.
Experience with JSON-RPC, WebSockets, and real-time communication protocols.
Knowledge of RESTful API design and implementation.
Familiarity with database systems (SQL and NoSQL).
Understanding of authentication protocols (OAuth, JWT, API keys).
Experience with Model Context Protocol development or similar AI integration protocols.
Understanding of AI model context management and data retrieval patterns.
Knowledge of tool calling and function execution in AI systems.
Familiarity with prompt engineering and context optimization.
Military tech background (e.g., 8200, Mamram)- an advantage.
English proficiency- required.
Nice to Have:
Experience working with large language models and AI applications.
Background in distributed systems and microservices architecture.
Knowledge of streaming data processing and real-time analytics.
Experience with AI development frameworks (LangChain, LlamaIndex, etc.).
Contributions to open-source MCP projects or similar protocols.
Understanding of enterprise security and compliance requirements (SOC2, GDPR, HIPAA).
