AI Context Developer / GenAI Engineer - Indianapolis, IN

Build enterprise GenAI applications using organizational data, documents & business knowledge

Strong hands-on expertise in Python, LLMs, RAG, embeddings, vector databases/search & prompt/context engineering

Build document ingestion, chunking, retrieval, reranking & grounded-response pipelines

Experience with APIs/microservices, LLM evaluation & agentic AI workflows

Databricks, MLflow, NVIDIA AI, LangChain/LangGraph or LlamaIndex strongly preferred

Knowledge graphs, model serving, enterprise AI security & governance are strong pluses

Must be comfortable engaging business teams to identify new AI use cases

Erforderliche Kompetenzen

Python programmingLLM application developmentRetrieval-Augmented Generation (RAG)Embeddings and vector search / vector databasesPrompt engineering and context engineeringDocument ingestion, chunking, retrieval, and rerankingAPIs and microservices for serving AI capabilitiesLLM evaluation and agentic workflowsEnterprise security and governance for AI solutionsBusiness stakeholder communication and engagementLangChain / LangGraph / LlamaIndex (LLM orchestration frameworks)Databricks and MLflowKnowledge graphsModel serving and cloud AI platformsNVIDIA AI ecosystem

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