Python Full Stack AI
San Jose, CA · On-site
Develop Retrieval-Augmented Generation (RAG) solutions using vector databases. Integrate LLMs such as GPT, Claude, Gemini, or Llama into enterprise applications. Fine-tune, evaluate, and optimize ...
San Jose, CA · On-site
Develop Retrieval-Augmented Generation (RAG) solutions using vector databases. Integrate LLMs such as GPT, Claude, Gemini, or Llama into enterprise applications. Fine-tune, evaluate, and optimize ...
San Jose, CA · On-site
Develop Retrieval-Augmented Generation (RAG) solutions using vector databases. Integrate LLMs such as GPT, Claude, Gemini, or Llama into enterprise applications. Fine-tune, evaluate, and optimize ...
Irvine, CA · On-site
Build Retrieval-Augmented Generation (RAG) solutions using enterprise data. Develop prompt engineering strategies and context management pipelines. Fine-tune and optimize LLM-powered applications for ...
New
Irvine, CA · On-site
Build Retrieval-Augmented Generation (RAG) solutions using enterprise data. Develop prompt engineering strategies and context management pipelines. Fine-tune and optimize LLM-powered applications for ...
New
Woodland Hills, CA · On-site
AI/ML technologies (e.g., LLMs, NLP, retrieval-augmented generation) - 6 Yrs of Exp * Jira, Azure DevOps, Confluence, and Smartsheet - 6 Yrs of Exp Must have Certifications: PMP, PMI-ACP, or ...
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Woodland Hills, CA · On-site
AI/ML technologies (e.g., LLMs, NLP, retrieval-augmented generation) - 6 Yrs of Exp * Jira, Azure DevOps, Confluence, and Smartsheet - 6 Yrs of Exp Must have Certifications: PMP, PMI-ACP, or ...
Guided teams on LLM usage patterns, including prompt design, grounding strategies, and Retrieval-Augmented Generation (RAG) * Collaborated with AI architects and MLOps teams to ensure Responsible AI ...
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Guided teams on LLM usage patterns, including prompt design, grounding strategies, and Retrieval-Augmented Generation (RAG) * Collaborated with AI architects and MLOps teams to ensure Responsible AI ...
You will lead end-to-end engineering and research efforts spanning large-scale Retrieval-Augmented Generation (RAG), world knowledge understanding, conversational reasoning, knowledge generation and ...
You will lead end-to-end engineering and research efforts spanning large-scale Retrieval-Augmented Generation (RAG), world knowledge understanding, conversational reasoning, knowledge generation and ...
Sunnyvale, CA · On-site
$60 - $82.50/hr
... Retrieval-Augmented Generation) architecture * - Hands-on experience on designing solutions using agentic frameworks like LangChain, CrewAI, Semantic Kernel and AutoGen. * - Having experience in ...
Sunnyvale, CA · On-site
$60 - $82.50/hr
... Retrieval-Augmented Generation) architecture * - Hands-on experience on designing solutions using agentic frameworks like LangChain, CrewAI, Semantic Kernel and AutoGen. * - Having experience in ...
You will lead end-to-end engineering and research efforts spanning large-scale Retrieval-Augmented Generation (RAG), world knowledge understanding, conversational reasoning, knowledge generation and ...
You will lead end-to-end engineering and research efforts spanning large-scale Retrieval-Augmented Generation (RAG), world knowledge understanding, conversational reasoning, knowledge generation and ...
... retrieval-augmented generation (RAG) * 7+ Years Exp - coding experience in Python, with proficiency in ML/NLP libraries * 7+ Years Exp - healthcare data standards like FHIR, HL7, ICD/CPT, X12 EDI ...
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... retrieval-augmented generation (RAG) * 7+ Years Exp - coding experience in Python, with proficiency in ML/NLP libraries * 7+ Years Exp - healthcare data standards like FHIR, HL7, ICD/CPT, X12 EDI ...
This role focuses on building robust Retrieval-Augmented Generation (RAG) pipelines to ensure AI agents and applications have access to the most relevant, timely, and high-quality information. You'll ...
This role focuses on building robust Retrieval-Augmented Generation (RAG) pipelines to ensure AI agents and applications have access to the most relevant, timely, and high-quality information. You'll ...
This role focuses on building robust Retrieval-Augmented Generation (RAG) pipelines to ensure AI agents and applications have access to the most relevant, timely, and high-quality information. You'll ...
This role focuses on building robust Retrieval-Augmented Generation (RAG) pipelines to ensure AI agents and applications have access to the most relevant, timely, and high-quality information. You'll ...
Develop tools for training and fine-tuning large language models, advanced Retrieval-Augmented Generation (RAG) pipelines, vector databases and agentic frameworks. * Build efficient data pipelines to ...
Develop tools for training and fine-tuning large language models, advanced Retrieval-Augmented Generation (RAG) pipelines, vector databases and agentic frameworks. * Build efficient data pipelines to ...
Develop tools for training and fine-tuning large language models, advanced Retrieval-Augmented Generation (RAG) pipelines, vector databases and agentic frameworks. * Build efficient data pipelines to ...
Develop tools for training and fine-tuning large language models, advanced Retrieval-Augmented Generation (RAG) pipelines, vector databases and agentic frameworks. * Build efficient data pipelines to ...
Retrieval-augmented generation (RAG) systems for dynamic hotel and travel searches * Preference engines that learn and evolve from member interactions * Lightweight AI orchestration layers integrated ...
Retrieval-augmented generation (RAG) systems for dynamic hotel and travel searches * Preference engines that learn and evolve from member interactions * Lightweight AI orchestration layers integrated ...
San Francisco, CA · On-site
The ideal candidate will have hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, vector databases, and cloud-native AI ...
San Francisco, CA · On-site
The ideal candidate will have hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, vector databases, and cloud-native AI ...
Build and scale Retrieval-Augmented Generation (RAG) pipelines, multi-agent orchestrations, and API integrations connecting LLMs to internal databases and enterprise software. * Evaluations ...
Build and scale Retrieval-Augmented Generation (RAG) pipelines, multi-agent orchestrations, and API integrations connecting LLMs to internal databases and enterprise software. * Evaluations ...
Cupertino, CA · On-site
Expertise in building Retrieval-Augmented Generation (RAG) pipelines * Knowledge of semantic layers and knowledge graphs for structured reasoning * Proficient in Python and FastAPI for backend and ...
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Cupertino, CA · On-site
Expertise in building Retrieval-Augmented Generation (RAG) pipelines * Knowledge of semantic layers and knowledge graphs for structured reasoning * Proficient in Python and FastAPI for backend and ...
San Francisco, CA · On-site
$59.25 - $81.50/hr
Implement Retrieval-Augmented Generation (RAG) and orchestrate AI agents using tools like LangChain, LangGraph, or CrewAI. * Integrate Large Language Models (LLMs) with enterprise vector databases ...
San Francisco, CA · On-site
$59.25 - $81.50/hr
Implement Retrieval-Augmented Generation (RAG) and orchestrate AI agents using tools like LangChain, LangGraph, or CrewAI. * Integrate Large Language Models (LLMs) with enterprise vector databases ...
Create scalable RAG (Retrieval-Augmented Generation) pipelines * Design systems for managing context, grounding, and memory * Optimize retrieval using embeddings, vector search, and ranking ...
Create scalable RAG (Retrieval-Augmented Generation) pipelines * Design systems for managing context, grounding, and memory * Optimize retrieval using embeddings, vector search, and ranking ...
Pleasanton, CA · On-site
$133K - $173K/yr
Experience with AI frameworks/tools such as LangChain , Spring AI , OpenAI APIs , Azure OpenAI , Vertex AI , Anthropic Claude , or Retrieval-Augmented Generation (RAG) . * Experience with Docker ...
Pleasanton, CA · On-site
$133K - $173K/yr
Experience with AI frameworks/tools such as LangChain , Spring AI , OpenAI APIs , Azure OpenAI , Vertex AI , Anthropic Claude , or Retrieval-Augmented Generation (RAG) . * Experience with Docker ...
AI-Powered Knowledge Systems & Retrieval-Augmented Generation (RAG) * Architect and implement RAG platforms and AI-ready knowledge repositories. * Design intelligent retrieval systems using hybrid ...
AI-Powered Knowledge Systems & Retrieval-Augmented Generation (RAG) * Architect and implement RAG platforms and AI-ready knowledge repositories. * Design intelligent retrieval systems using hybrid ...
| Aspect | Temporary Retrieval Augmented Generation | Data Scientist |
|---|---|---|
| Required Credentials | Typically requires knowledge of AI, NLP, and some programming skills | Requires degrees in data science, statistics, or related fields, often with certifications in data analysis |
| Work Environment | Often project-based, working with AI models and large datasets in tech or research firms | Usually in corporate, research, or tech companies analyzing data to inform decisions |
| Industry Usage | Used in AI development, natural language processing, and machine learning projects | Applied across industries for data analysis, predictive modeling, and business insights |
Temporary Retrieval Augmented Generation focuses on enhancing AI models with retrieval techniques, while Data Scientists analyze data to generate insights. Both roles require technical skills but serve different purposes within the tech and data ecosystem.

Other
Posted 10 days ago
Key Responsibilities
Design, develop, and deploy AI/ML and Generative AI applications.
Build AI-powered assistants, copilots, chatbots, and autonomous AI agents.
Develop Retrieval-Augmented Generation (RAG) solutions using vector databases.
Integrate LLMs such as GPT, Claude, Gemini, or Llama into enterprise applications.
Fine-tune, evaluate, and optimize foundation models for business use cases.
Develop REST APIs and microservices for AI applications.
Implement prompt engineering, function calling, AI workflows, and agent orchestration.
Ensure AI solutions meet security, privacy, governance, and responsible AI standards.
Optimize AI model performance, latency, scalability, and cost.
Collaborate with product managers, architects, and data scientists throughout the software lifecycle.