Senior AI Integration Developer
Tasks
- Define and execute AI output evaluation frameworks
- Deploy and configure locally hosted models
- Design and implement MCP server and tool interfaces
- Develop and refine system prompts tool definitions and context management
- Document AI architecture tool schemas prompt strategies model configurations and evaluation results
- Evaluate and select local models for assistant tasks
- Identify high value AI use cases and translate into tool designs
- Integrate LLM inference endpoints into backend and frontend
- Maintain and extend Python and Node.js services for AI functionality
- Stay current with MCP and local model ecosystem
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic AI | Automated testing | CI/CD | Cloud LLM | Cloud LLM APIs | Docker | Error Recovery | Evaluation Framework | FastAPI | FastMCP | GPU benchmarking | Git | JavaScript | LLM APIs | Langchain | Langgraph | Latency benchmarking | Llama.cpp | MCP | Model Context Protocol | Model selection | Node.js | Ollama | PostgreSQL | Prompt engineering | Python | Quantization | RAG | React | Regression testing | Retrieval-Augmented Generation | Secret Clearance | System Prompt | Tool chaining | TypeScript | Unit Testing | Vector Database
Education
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