MCP BackEnd developer

MCP BackEnd developer

We are looking for MCP BackEnd developer to join Unikie 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 being monitored and tuned.

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. This involves cleaning unstructured data so that the "Search" or "Fetch" tools return high-signal results.
• Evaluation Pipelines (LLM-as-a-Judge): Build automated testing suites to "score" how well the LLM uses the MCP tools. If the model fails to call a tool correctly 10% of the time, you identify if the schema or the data is the bottleneck.
• Prompt Versioning & Registry: Manage a centralized repository of system prompts and tool definitions, ensuring that a change in the backend data schema doesn't break the model's ability to reason.
• Inference Monitoring: Track "Time to First Token" and "Tool Execution Latency" to optimize the 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.