Entry Level Retrieval Augmented Generation Jobs (NOW HIRING)

Opportunity available for Junior AI Engineer to join a growing AI team and help build enterprise Generative AI applications using Azure AI services , Retrieval-Augmented Generation (RAG) , and modern ...

Your expertise in retrieval-augmented generation will enable the integration of comprehensive data sources, empowering our systems to deliver high-quality, context-aware content and responses. You ...

Build and implement Retrieval-Augmented Generation (RAG) pipelines for enterprise AI solutions. Develop AI-powered applications using Python and modern AI frameworks. Integrate OpenAI, Azure OpenAI ...

Responsibilities : • Building production-ready AI services and APIs using Python • LLM integration • Prompt engineering frameworks • RAG (Retrieval-Augmented Generation) pipelines • Vector ...

The ideal candidate will have experience in prompt engineering, AI agentic frameworks, large language models (LLMs), retrieval-augmented generation (RAG), and vector databases. This role requires a ...

The ideal candidate will have a strong background in investment banking, hands-on experience with Microsoft Azure OpenAI, and expertise in Retrieval-Augmented Generation (RAG). Key Responsibilities:

Design and implement Retrieval-Augmented Generation (RAG) architectures and prompt engineering strategies. * Develop and maintain backend services and APIs using Python and JavaScript. * Support ...

The ideal candidate will have a strong background in investment banking, hands-on experience with Microsoft Azure OpenAI, and expertise in Retrieval-Augmented Generation (RAG). Key Responsibilities:

Focuses on implementing retrieval-augmented generation (RAG) pipelines, integrating LLMs with structured/unstructured data sources, and fine-tuning models for specific use cases. Key Skills:

The ideal candidate will possess strong expertise in Python development , LLM integration , retrieval-augmented generation (RAG) , chatbot development , workflow automation , and AI model deployment ...

This role focuses on building scalable, production-grade AI systems, leveraging advanced API development, retrieval-augmented generation (RAG), and agentic frameworks. You will work on cutting-edge ...

The ideal candidate will have strong skills in Python, React.js, Retrieval-Augmented Generation (RAG ), and hands-on experience with LangChain and LangGraph frameworks. You will be responsible for ...

... Retrieval-Augmented Generation (RAG) to solve complex cross-platform enterprise challenges. · Establish Enterprise CoE guardrails, helping ensure all AI deployments adhere to Microsoft ...

... Retrieval-Augmented Generation (RAG) - Vector databases - Prompt engineering - Large Language Models (LLMs) - Application: Send suitable profiles and contact details to rams@vensoft.com

Responsibilities : • Develop and implement generative AI models using frameworks like TensorFlow and PyTorch. • Build and optimize RAG (Retrieval-Augmented Generation) pipelines. • Work on NLP ...

Familiarity with Generative AI and Machine Learning including Retrieval Augmented Generation. Ability to work and deliver independently with minimal guidance. Good communication skills"

This role focuses on agentic workflows, retrieval-augmented generation (RAG), tool orchestration, evaluation, and production deployment of GenAI systems. You will work at the intersection of LLMs ...

... RAG (Retrieval-Augmented Generation) techniques. • Strong understanding of natural language processing (NLP). Experience with data preprocessing and model fine-tuning. • Familiarity with ...

... Retrieval Augmented Generation (RAG) techniques to enhance data analytics capabilities • Applying Machine Learning technologies for anomaly detection Minimum Qualifications Bachelor's degree in ...

Prompt Engineering & RAG,Retrieval Augmented Generation,Fine Tuning Large Language Models,Prompt Engineering