Freelance Retrieval Augmented Generation Jobs in Indiana

... LLMs), Retrieval-Augmented Generation (RAG), Vector Databases, MLflow, KubeflowCloud & Data TechnologiesPython, SQL, API Integration, Kubernetes, Docker, CI/CD, Apache Spark, Databricks ...

... and retrieval-augmented generation. * Engineering integrations between data platforms, governance, risk, and compliance workflows, and enterprise systems using application programming interfaces ...

Integrate Azure OpenAI (or equivalent) services into retrieval-augmented generation (RAG) solutions using a vendor-agnostic architecture. * Build and support cloud-native data solutions across Azure ...

Integrate Azure OpenAI (or equivalent) services into retrieval-augmented generation (RAG) solutions using a vendor-agnostic architecture. * Build and support cloud-native data solutions across Azure ...

Architect and deliver integrated AI solutions, including agentic workflows, retrieval-augmented generation pipelines, and enterprise platform integrations * Define and enforce governance, security ...

Implement RAG (Retrieval-Augmented Generation) solutions using document chunking, embeddings, vector databases, and LLMs. * Develop REST API integrations with OAuth authentication, pagination, schema ...

Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...

Automate the ingestion and structuring of unstructured data (PDFs, manuals, contracts, emails) to enable highly accurate Retrieval-Augmented Generation (RAG) architectures. * Map complex enterprise ...

... Retrieval Augmented Generation (RAG), NLP/LLM model development and ensure the end-to-end solution meets all technical and business requirements, and SLA specifications. * Work closely with the MLOps ...

... Retrieval-Augmented Generation (RAG) architectures. • Map complex enterprise data schemas to identify the exact tables, fields, and payloads required to support the cognitive architecture designed ...

... Retrieval Augmented Generation (RAG), NLP/LLM model development and ensure the end-to-end solution meets all technical and business requirements, and SLA specifications. * Work closely with the MLOps ...

The position requires working across departments to build, operate, and optimize highly available data pipelines that feed analytics, ML training and inference, and retrieval-augmented generation ...

Evaluate and recommend appropriate AI and automation solution patterns, including traditional machine learning, predictive models, optimization, generative AI, retrieval-augmented generation, agentic ...

Engineer prompt pipelines with structured outputs, retrieval-augmented generation (RAG), and tool-use patterns tailored to organizational data and workflows. * Evaluate, select, and integrate best-in ...

Engineer prompt pipelines with structured outputs, retrieval-augmented generation (RAG), and tool-use patterns tailored to organizational data and workflows. * Evaluate, select, and integrate best-in ...

Build and implement RAG (Retrieval-Augmented Generation) systems to dramatically improve AI accuracy, including knowledge retrieval pipelines and semantic search optimization for large-scale datasets

Build and implement RAG (Retrieval-Augmented Generation) systems to dramatically improve AI accuracy, including knowledge retrieval pipelines and semantic search optimization for large-scale datasets

Familiarity with vector databases (e.g., Marqo, Milvus, Pinecone) and embedding models for semantic search and retrieval-augmented generation (RAG). * Proficiency in building and maintaining RESTful ...

Build and implement RAG (Retrieval-Augmented Generation) systems to dramatically improve AI accuracy, including knowledge retrieval pipelines and semantic search optimization for large-scale datasets

Familiarity with LLM concepts such as prompt engineering, retrieval-augmented generation, embeddings, vector databases, model evaluation, responsible AI, guardrails, and production monitoring is ...