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Application Development: Code and integrate LLM APIs (OpenAI, Anthropic, etc.) or local models into backend services using Python, FastAPI, etc., OpenTelemetry logging. MCP Server Development: Design and implement custom MCP servers using the official SDKs (Python/TypeScript) to expose internal databases, APIs, and file systems to AI agents. RAG Implementation: Build & validate RAG—specifically coding the data ingestion scripts, text chunking logic for optimal retrieval. Agent Development: Implement multi-step workflows using LangChain, LangGraph, CrewAI etc., focusing on tool-calling logic and error handling. Evaluation & Guardrails: Validate & finetune the solution you developed (correctness, latency, token optimization, hallucination, bias etc.,). Coverage of common GenAI guardrails. Data Preparation: Prepare/finetune inp...
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