LangChain Jobs

I’m building an NLP-driven, multimodal assistant that accepts text, image, and audio inputs, but its replies still drift into hallucination. The goal is straightforward: sharpen response accuracy so the system stays firmly grounded in fact. Right now the core pipeline is a Hugging Face Transformer model wrapped in a Retrieval-Augmented Generation (RAG) layer. I need you to audit the entire flow, diagnose where and why hallucinations appear, and then apply proven mitigation techniques. That could involve prompt engineering, better retrieval logic, truth-focused data augmentation, fine-tuning, or introducing guard-rail frameworks—whatever combination delivers measurably higher factual precision. Deliverables • A revised model or inference pipeline that demonstrably impro...

I’m building a production-grade backend that orchestrates multi-step LLM workflows and serves them through a FastAPI layer. The stack is Python first, so I need someone who is genuinely comfortable with advanced language features, clean architecture, and test-driven habits. Core scope • Design and implement LangGraph​/​LangChain pipelines that call both Claude and OpenAI models. • Shape a robust PostgreSQL schema from scratch and write the migration scripts to match. • Expose all functionality via FastAPI endpoints with proper async handling, input validation, and error management. • Handle PDF generation with ReportLab (or an equivalent you like) for final user-facing reports. Claude-specific responsibilities Prompt engineering Understanding tok...

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Hi I will share the details with the shortlisted candidates. Thanks