We are looking for an MCP BackEnd Developer to join the company. The mission is to ensure the MCP servers are fed by clean, high-quality data and that the model’s tool-use performance is constantly being monitored and tuned.
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Location: Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates
Work Conditions: On-site, Full-time
Responsibilities:
- Design and maintain MCP Servers (Python/TypeScript) that expose internal data and functions to the model.
- Author rigorous JSON Schemas for tool definitions to ensure high model accuracy and reduce hallucinations.
- Architect secure Transport Layers (SSE/stdio) to bridge the gap between AI clients and remote data sources.
- Implement Least Privilege authorization logic to ensure the AI only accesses the data it absolutely needs.
Core Requirements:
- Expert-level knowledge of JSON-RPC, REST APIs, and Security protocols.
- Experience with LLM function-calling behaviors and prompt orchestration.
Expanded Responsibilities:
- Semantic Data Engineering: Curate the datasets that power MCP tools; clean unstructured data to ensure high-signal results from "Search" or "Fetch" tools.
- Evaluation Pipelines (LLM-as-a-Judge): Build automated testing suites to evaluate how well the LLM uses the MCP tools.
- Prompt Versioning & Registry: Manage a centralized repository of system prompts and tool definitions to prevent issues with backend data schema changes.
- Inference Monitoring: Track "Time to First Token" and "Tool Execution Latency" to optimize costs and speed of the MCP backend.
Added Skills:
- LangSmith/Weights & Biases (for monitoring), Vector Database management (Pinecone/Weaviate/pgvector), and Python-based ETL pipelines.
The selected candidates will be invited to an interview for further discussion.
