Data Scientist - IV
Dallas, TX · On-site
... such as retrieval augmented generation systems, chatbots, agentic ai tools, and so on. Education: MS/ PhD in Computer Science, Statistics, Math, Economics, Engineering, Business Analytics, Data ...
Data Scientist - IV
Dallas, TX · On-site
... such as retrieval augmented generation systems, chatbots, agentic ai tools, and so on. Education: MS/ PhD in Computer Science, Statistics, Math, Economics, Engineering, Business Analytics, Data ...
... Retrieval-Augmented Generation (RAG), persistent memory operating systems, and collaborative multi-agent architectures. • Be fluent in Python and C/C++, and have strong street cred using top-tier ...
... Retrieval-Augmented Generation (RAG), persistent memory operating systems, and collaborative multi-agent architectures. • Be fluent in Python and C/C++, and have strong street cred using top-tier ...
AI/ML Engineer
Dallas, TX · On-site
$113K - $136K/yr
LangChain LlamaIndex Hugging Face OpenAI APIs Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) Experience in RAG (Retrieval-Augmented Generation) implementations. Knowledge of MLOps tools and ...
Quick apply
AI/ML Engineer
Dallas, TX · On-site
$113K - $136K/yr
LangChain LlamaIndex Hugging Face OpenAI APIs Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) Experience in RAG (Retrieval-Augmented Generation) implementations. Knowledge of MLOps tools and ...
AI/ML Engineer
Dallas, TX · On-site
$113K - $136K/yr
LangChain LlamaIndex Hugging Face OpenAI APIs Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) Experience in RAG (Retrieval-Augmented Generation) implementations. Knowledge of MLOps tools and ...
Quick apply
AI/ML Engineer
Dallas, TX · On-site
$113K - $136K/yr
LangChain LlamaIndex Hugging Face OpenAI APIs Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) Experience in RAG (Retrieval-Augmented Generation) implementations. Knowledge of MLOps tools and ...
AI/ML Engineer
Dallas, TX · On-site
$113K - $136K/yr
LangChain LlamaIndex Hugging Face OpenAI APIs Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) Experience in RAG (Retrieval-Augmented Generation) implementations. Knowledge of MLOps tools and ...
Quick apply
AI/ML Engineer
Dallas, TX · On-site
$113K - $136K/yr
LangChain LlamaIndex Hugging Face OpenAI APIs Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) Experience in RAG (Retrieval-Augmented Generation) implementations. Knowledge of MLOps tools and ...
AI/ML Engineer
Dallas, TX · On-site
$113K - $136K/yr
LangChain LlamaIndex Hugging Face OpenAI APIs Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) Experience in RAG (Retrieval-Augmented Generation) implementations. Knowledge of MLOps tools and ...
Quick apply
AI/ML Engineer
Dallas, TX · On-site
$113K - $136K/yr
LangChain LlamaIndex Hugging Face OpenAI APIs Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) Experience in RAG (Retrieval-Augmented Generation) implementations. Knowledge of MLOps tools and ...
AI/ML Engineer
Dallas, TX · On-site
$113K - $136K/yr
LangChain LlamaIndex Hugging Face OpenAI APIs Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) Experience in RAG (Retrieval-Augmented Generation) implementations. Knowledge of MLOps tools and ...
Quick apply
AI/ML Engineer
Dallas, TX · On-site
$113K - $136K/yr
LangChain LlamaIndex Hugging Face OpenAI APIs Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) Experience in RAG (Retrieval-Augmented Generation) implementations. Knowledge of MLOps tools and ...
... Retrieval-Augmented Generation (RAG), persistent memory operating systems, and collaborative multi-agent architectures. • Be fluent in Python and C/C++, and have strong street cred using top-tier ...
... Retrieval-Augmented Generation (RAG), persistent memory operating systems, and collaborative multi-agent architectures. • Be fluent in Python and C/C++, and have strong street cred using top-tier ...
AI/ML Engineer
Dallas, TX · On-site
$113K - $136K/yr
LangChain LlamaIndex Hugging Face OpenAI APIs Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) Experience in RAG (Retrieval-Augmented Generation) implementations. Knowledge of MLOps tools and ...
Quick apply
AI/ML Engineer
Dallas, TX · On-site
$113K - $136K/yr
LangChain LlamaIndex Hugging Face OpenAI APIs Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) Experience in RAG (Retrieval-Augmented Generation) implementations. Knowledge of MLOps tools and ...
Data Lead- Dallas, TX
Dallas, TX · On-site
Your role is critical: you will design the RAG (Retrieval-Augmented Generation) architectures and data pipelines that ensure our agents have the right context at the right time to make accurate ...
Data Lead- Dallas, TX
Dallas, TX · On-site
Your role is critical: you will design the RAG (Retrieval-Augmented Generation) architectures and data pipelines that ensure our agents have the right context at the right time to make accurate ...
Data Lead- Dallas, TX
Dallas, TX · On-site
Your role is critical: you will design the RAG (Retrieval-Augmented Generation) architectures and data pipelines that ensure our agents have the right context at the right time to make accurate ...
Data Lead- Dallas, TX
Dallas, TX · On-site
Your role is critical: you will design the RAG (Retrieval-Augmented Generation) architectures and data pipelines that ensure our agents have the right context at the right time to make accurate ...
Sr. Python/AI Engineer
Irving, TX · On-site
Utilize vector databases (Pinecone, Milvus, Weaviate) for agent memory and architect Retrieval-Augmented Generation (RAG) pipelines to enhance LLM accuracy and contextual understanding. * Prompt ...
Sr. Python/AI Engineer
Irving, TX · On-site
Utilize vector databases (Pinecone, Milvus, Weaviate) for agent memory and architect Retrieval-Augmented Generation (RAG) pipelines to enhance LLM accuracy and contextual understanding. * Prompt ...
Consultant (LLM/AI Skillset)
Dallas, TX · On-site
Design, develop, and optimize RAG (Retrieval-Augmented Generation) models to facilitate effective information retrieval and generation in conversational AI systems. * Utilize vector databases and ...
Consultant (LLM/AI Skillset)
Dallas, TX · On-site
Design, develop, and optimize RAG (Retrieval-Augmented Generation) models to facilitate effective information retrieval and generation in conversational AI systems. * Utilize vector databases and ...
Consultant (LLM/AI Skillset)
Dallas, TX · On-site
Design, develop, and optimizeRAG(Retrieval-Augmented Generation) models to facilitate effective information retrieval and generation in conversational AI systems. * Utilize vector databases and ...
Consultant (LLM/AI Skillset)
Dallas, TX · On-site
Design, develop, and optimizeRAG(Retrieval-Augmented Generation) models to facilitate effective information retrieval and generation in conversational AI systems. * Utilize vector databases and ...
Retrieval-Augmented Generation (RAG) * Airtable * PostgreSQL * Google Workspace Integrations * Slack Integrations * CRM Workflow Automation * Enterprise Workflow Design Concepts What You Will Build ...
Retrieval-Augmented Generation (RAG) * Airtable * PostgreSQL * Google Workspace Integrations * Slack Integrations * CRM Workflow Automation * Enterprise Workflow Design Concepts What You Will Build ...
Retrieval-Augmented Generation (RAG) * Airtable * PostgreSQL * Google Workspace Integrations * Slack Integrations * CRM Workflow Automation * Enterprise Workflow Design Concepts What You Will Build ...
Retrieval-Augmented Generation (RAG) * Airtable * PostgreSQL * Google Workspace Integrations * Slack Integrations * CRM Workflow Automation * Enterprise Workflow Design Concepts What You Will Build ...
Technology AI Architect
Plano, TX · On-site
... Retrieval-Augmented Generation) implementations • Experience in MLOps practices including model versioning, CI/CD pipelines for ML, and model monitoring using tools like MLflow or Kubeflow • ...
Technology AI Architect
Plano, TX · On-site
... Retrieval-Augmented Generation) implementations • Experience in MLOps practices including model versioning, CI/CD pipelines for ML, and model monitoring using tools like MLflow or Kubeflow • ...
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 ...
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 ...
ML Engineer
Plano, TX · On-site
Preferred Qualifications · Experience working with Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), or AI agents. · Experience with vector databases such as ...
ML Engineer
Plano, TX · On-site
Preferred Qualifications · Experience working with Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), or AI agents. · Experience with vector databases such as ...
Entry Level Retrieval Augmented Generation information
What is an entry level retrieval augmented generation job?
Entry level retrieval augmented generation jobs involve assisting in the development and optimization of AI systems that combine information retrieval techniques with generative models. Employees in these roles typically help build, test, and maintain systems where AI retrieves relevant data from large databases to enhance the accuracy and relevance of generated responses. These positions often require basic skills in programming, machine learning, and familiarity with natural language processing. They are ideal for recent graduates or those new to AI, offering opportunities to learn about modern AI architectures and contribute to innovative projects. Entry level workers may work under the guidance of senior engineers or researchers, supporting experimentation and evaluation tasks.
What are the key skills and qualifications needed to thrive as an entry level retrieval augmented generation specialist?
To thrive as an Entry Level Retrieval Augmented Generation Specialist, you need a foundational understanding of natural language processing (NLP), information retrieval, and basic programming skills, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, vector databases (like FAISS or Pinecone), and frameworks for large language models (LLMs) is typically required. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate and troubleshoot solutions in team environments. These skills and qualities are crucial for building reliable RAG systems that deliver accurate and relevant information to users.
What is the difference between Entry Level Retrieval Augmented Generation vs Entry Level Data Scientist?
| Aspect | Entry Level Retrieval Augmented Generation | Entry Level Data Scientist |
|---|---|---|
| Required Credentials | Basic programming, understanding of NLP and AI concepts | Bachelor's in Data Science, Computer Science, or related field |
| Work Environment | Tech companies, AI startups, research labs | Tech firms, finance, healthcare, consulting |
| Industry Usage | AI development, NLP applications, chatbot creation | Data analysis, predictive modeling, data-driven decision making |
Entry Level Retrieval Augmented Generation focuses on developing AI models that combine retrieval techniques with generative AI, requiring knowledge of NLP and programming. Entry Level Data Scientist involves analyzing data, building models, and deriving insights, often with a broader data analysis skill set. While both roles require technical skills, Retrieval Augmented Generation is more specialized in AI model development, whereas Data Scientists work across various data projects.
What are some common challenges faced by entry-level professionals working in retrieval augmented generation roles?
Entry-level professionals in Retrieval Augmented Generation (RAG) often encounter challenges such as understanding how to effectively combine information retrieval systems with large language models and adapting to rapidly evolving technologies. Balancing accuracy and efficiency when designing or fine-tuning retrieval pipelines can also be a learning curve. Additionally, you may need to collaborate closely with data engineers, machine learning specialists, and product teams to ensure the RAG system aligns with business requirements. Staying proactive in learning and engaging with peers can help overcome these challenges and accelerate career growth.
What are the most commonly searched types of Retrieval Augmented Generation jobs in Dallas, TX? The most popular types of Retrieval Augmented Generation jobs in Dallas, TX are:
What are popular job titles related to Entry Level Retrieval Augmented Generation jobs in Dallas, TX? For Entry Level Retrieval Augmented Generation jobs in Dallas, TX, the most frequently searched job titles are:
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What job categories do people searching Entry Level Retrieval Augmented Generation jobs in Dallas, TX look for? The top searched job categories for Entry Level Retrieval Augmented Generation jobs in Dallas, TX are:
Job description
Location: Dallas, TX Salary: Negotiable Description: Our client is currently seeking a Data Scientist - IV
[ Additional Description ]
Title: Data Scientist - IVLocation: Irving, TX (Hybrid)
Duration: Long term contract
JOB DESCRIPTION
Responsibilities:
Independently work on data science projects and deliver innovative technical solutions to solve problems and improve business outcomes
Be involved in the design and development of machine learning/statistical models and ensure best performance
Work closely with machine learning engineers to deploy models in production both in real-time and in batch process and systematically track model performance
Assist engagement with key business stakeholders in discussion on business strategies and opportunities
Build strong working relationships and develop deep partnerships with the business
Become a subject matter expert on machine learning and predictive modeling
Actively research new theories, techniques, and technologies
Must Have Skills:
Proficient in Python and SQL
Hands-on experience in database technology (Postgres, Redis, Elastic Search)
Familiarity with transformer architectures (SLM, LLM, VLM, Embedding Models)
Desired Skills
Expertise in API development and container technology (Docker, Podman)
Experience with cloud platform (Google Cloud Platform) and services (Big Query, google cloud storage, Cloud SQL, Vector Search and so on)
Working knowledge of software development tools and practices (Git, branching model, agile development, Test-driven-development)
Hands-on experience building LLM-based solutions such as retrieval augmented generation systems, chatbots, agentic ai tools, and so on.
Education:
MS/ PhD in Computer Science, Statistics, Math, Economics, Engineering, Business Analytics, Data Science or a related field
By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
Contact:
This job and many more are available through The Judge Group. Please apply with us today!
[ Additional Description ]
Title: Data Scientist - IVLocation: Irving, TX (Hybrid)
Duration: Long term contract
JOB DESCRIPTION
Responsibilities:
Independently work on data science projects and deliver innovative technical solutions to solve problems and improve business outcomes
Be involved in the design and development of machine learning/statistical models and ensure best performance
Work closely with machine learning engineers to deploy models in production both in real-time and in batch process and systematically track model performance
Assist engagement with key business stakeholders in discussion on business strategies and opportunities
Build strong working relationships and develop deep partnerships with the business
Become a subject matter expert on machine learning and predictive modeling
Actively research new theories, techniques, and technologies
Must Have Skills:
Proficient in Python and SQL
Hands-on experience in database technology (Postgres, Redis, Elastic Search)
Familiarity with transformer architectures (SLM, LLM, VLM, Embedding Models)
Desired Skills
Expertise in API development and container technology (Docker, Podman)
Experience with cloud platform (Google Cloud Platform) and services (Big Query, google cloud storage, Cloud SQL, Vector Search and so on)
Working knowledge of software development tools and practices (Git, branching model, agile development, Test-driven-development)
Hands-on experience building LLM-based solutions such as retrieval augmented generation systems, chatbots, agentic ai tools, and so on.
Education:
MS/ PhD in Computer Science, Statistics, Math, Economics, Engineering, Business Analytics, Data Science or a related field
By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
Contact:
This job and many more are available through The Judge Group. Please apply with us today!
About Judge Group
Sourced by ZipRecruiter
Industry
Recruiting and staffing services
Company size
5,001 - 10,000 Employees
Headquarters location
Wayne, PA, US
Year founded
1970