Entrylevel Retrieval Augmented Generation Jobs in Hackensack, NJ

Familiarity with Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) * Ability to collaborate effectively across technical and non-technical teams What we offer * Drive growth in a ...

Familiarity with Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) * Ability to collaborate effectively across technical and non-technical teams What we offer * Drive growth in a ...

Develop Retrieval-Augmented Generation (RAG) systems using vector databases and semantic search. * API/SDK Integration: Integrate LLMs (OpenAI, Anthropic) into applications using function calling ...

Familiarity with Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) * Ability to collaborate effectively across technical and non-technical teams What we offer * Drive growth in a ...

Technical Evaluation & Benchmarking - Assess technical approaches for platform capabilities (e.g., knowledge graph design, API integration patterns, retrieval-augmented generation strategies) and ...

Experience building LLM-powered products, agent frameworks, or retrieval-augmented generation systems. * Experience with financial services, regulated workflows, compliance, auditability, or ...

Experiment with LLMs, embeddings, and retrieval-augmented generation (RAG) for IT knowledge and workflow automation. * Partner with engineers and product managers to define AI-first features that ...

Define MLOps/GitOps patterns for model lifecycle, vector-DB indexing, retrieval-augmented generation (RAG) and guard-railing. Benchmark and cost-optimize GPU, Grace Hopper and CPU clusters (TCO ...

Define MLOps/GitOps patterns for model lifecycle, vector-DB indexing, retrieval-augmented generation (RAG) and guard-railing. Benchmark and cost-optimize GPU, Grace Hopper and CPU clusters (TCO ...

Hands-on experience developing LLM applications, AI agents, prompt engineering or retrieval-augmented generation systems. * Experience with agentic AI frameworks such as Google ADK, PydanticAI ...

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

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

Experience working with modern large language model ecosystems, prompt engineering, retrieval-augmented generation (RAG), or AI workflow orchestration frameworks is a plus. * Technical Stack: Strong ...

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

Experience building RAG (Retrieval-Augmented Generation) solutions. * Strong understanding of GitHub Actions , CI/CD pipelines, and deployment automation. * Experience with REST APIs, microservices ...

Experience working with modern large language model ecosystems, prompt engineering, retrieval-augmented generation (RAG), or AI workflow orchestration frameworks is a plus. * Technical Stack: Strong ...

Experience working with modern large language model ecosystems, prompt engineering, retrieval-augmented generation (RAG), or AI workflow orchestration frameworks is a plus. * Technical Stack: Strong ...

Help develop proofs of concept and pilot AI solutions for attorneys and business professionals * Assist in exploring Retrieval-Augmented Generation (RAG) approaches using internal knowledge sources

Develop and productionize LLM-powered features, including retrieval-augmented generation (RAG), agent workflows, and prompt / tool orchestration * Integrate LLMs with Qloo's structured entity graph ...

Develop and productionize LLM-powered features, including retrieval-augmented generation (RAG), agent workflows, and prompt / tool orchestration * Integrate LLMs with Qloo's structured entity graph ...