AI Engineer for LLM, RAG, and Agent DevelopmentSearching
Build production-ready LLM-powered applications and RAG pipelines in Python. Develop AI agents and workflow orchestration using LangChain and LangGraph.
Integrate OpenAI APIs, vector databases, and enterprise data sources. Create supporting machine-learning models and data-processing pipelines, with FastAPI/REST APIs where needed.
Deploy, optimize, and maintain AI applications on AWS or Azure. Strong hands-on experience with Python, NLP, LLMs, RAG architecture, cloud deployment, and production AI delivery is required.
- Hiring as
- Individual
- Experience level
- Junior
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