We are looking for an MCP BackEnd Developer to join the company Team. 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 monitored and tuned.
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Location: United Arab Emirates (On-site)
Job Type: 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, ensuring high-signal results from unstructured data.
- Evaluation Pipelines (LLM-as-a-Judge): Build automated testing suites to assess how well the LLM uses the MCP tools.
- Prompt Versioning & Registry: Manage a centralized repository of system prompts and tool definitions to maintain model reasoning.
- Inference Monitoring: Track "Time to First Token" and "Tool Execution Latency" to optimize backend costs and speed.
Added Skills:
- Familiarity with LangSmith/Weights & Biases for monitoring.
- Experience with Vector Database management (Pinecone/Weaviate/pgvector).
- Proficient in Python-based ETL pipelines.
The selected candidates will be invited to an interview for further discussion.
