Neural Networks, Decision Trees, SVM, NLP, Reinforcement Learning, Ensemble Methods, MCP Strong knowledge with RAG (Retrieval-Augmented Generation), Prompt Engineering, Agentic AI Knowledge of ...
Neural Networks, Decision Trees, SVM, NLP, Reinforcement Learning, Ensemble Methods, MCP Strong knowledge with RAG (Retrieval-Augmented Generation), Prompt Engineering, Agentic AI Knowledge of ...
Sr Software Engineer AI-ML
$117K - $155K/yr
Techniques for prompt engineering, Retrieval-Augmented Generation (RAG), and model fine-tuning.
Sr Software Engineer AI-ML
$117K - $155K/yr
Techniques for prompt engineering, Retrieval-Augmented Generation (RAG), and model fine-tuning.
Agentic AI Developer (Python & AI)
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 ...
Agentic AI Developer (Python & AI)
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 ...
Role Overview An Azure AI Foundry AI Engineer designs, builds, and deploys intelligent generative AI, agentic workflows, and RAG (Retrieval-Augmented Generation) applications. This role requires ...
Role Overview An Azure AI Foundry AI Engineer designs, builds, and deploys intelligent generative AI, agentic workflows, and RAG (Retrieval-Augmented Generation) applications. This role requires ...
Gen AI Architect
New York, NY · On-site
Strong understanding and practical experience with Retrieval-Augmented Generation (RAG). Proficiency in programming languages such as Python. Knowledge of AI model deployment and API integration.
Gen AI Architect
New York, NY · On-site
Strong understanding and practical experience with Retrieval-Augmented Generation (RAG). Proficiency in programming languages such as Python. Knowledge of AI model deployment and API integration.
AI Intern
Woodridge, IL · On-site
... AI, Retrieval-Augmented Generation (RAG), and agentic AI workflows. This role provides hands-on experience with applied AI development, backend Application Programming Interface (API) development ...
AI Intern
Woodridge, IL · On-site
... AI, Retrieval-Augmented Generation (RAG), and agentic AI workflows. This role provides hands-on experience with applied AI development, backend Application Programming Interface (API) development ...
ONLY W2 | AI Engineer@ Denver, Co
Denver, CO · On-site
Solid understanding of LLM architectures, embeddings, and retrieval-augmented generation (RAG). * Proficiency in Python, JavaScript/TypeScript , or similar programming languages. * Experience with ...
ONLY W2 | AI Engineer@ Denver, Co
Denver, CO · On-site
Solid understanding of LLM architectures, embeddings, and retrieval-augmented generation (RAG). * Proficiency in Python, JavaScript/TypeScript , or similar programming languages. * Experience with ...
Contract We are seeking a Forward Deployment Engineer with strong expertise in Generative AI, Agentic AI, and Retrieval-Augmented Generation (RAG) to design, deploy, and scale AI solutions for ...
Contract We are seeking a Forward Deployment Engineer with strong expertise in Generative AI, Agentic AI, and Retrieval-Augmented Generation (RAG) to design, deploy, and scale AI solutions for ...
AI Developer
San Jose, CA · Remote
Integrate memory systems and RAG (Retrieval-Augmented Generation) using vector databases for context management. * Ensure agent reliability, safety, and governance by establishing robust guardrails ...
Quick apply
AI Developer
San Jose, CA · Remote
Integrate memory systems and RAG (Retrieval-Augmented Generation) using vector databases for context management. * Ensure agent reliability, safety, and governance by establishing robust guardrails ...
GenAI Engineer-W2
Austin, TX · On-site
Familiarity with retrieval-augmented generation (RAG) and prompt engineering. * Strong problem-solving skills and ability to work in fast-paced AI environments. Preferred: * Experience with open ...
Quick apply
GenAI Engineer-W2
Austin, TX · On-site
Familiarity with retrieval-augmented generation (RAG) and prompt engineering. * Strong problem-solving skills and ability to work in fast-paced AI environments. Preferred: * Experience with open ...
Solution Architect ( Conversational AI)
Chicago, IL · On-site
$65 - $85.50/hr
Exposure to Retrieval-Augmented Generation (RAG) models for dynamic, context-aware responses * Designed and deployed chatbot solutions across web and mobile platforms * Cloud Architecture: * Strong ...
Quick apply
Solution Architect ( Conversational AI)
Chicago, IL · On-site
$65 - $85.50/hr
Exposure to Retrieval-Augmented Generation (RAG) models for dynamic, context-aware responses * Designed and deployed chatbot solutions across web and mobile platforms * Cloud Architecture: * Strong ...
Python Developer with ML - Dallas, TX
$49.75 - $68.50/hr
Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for Large Language Models (LLMs) to provide contextually relevant and accurate outputs. This includes ingesting, processing, and ...
Python Developer with ML - Dallas, TX
$49.75 - $68.50/hr
Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for Large Language Models (LLMs) to provide contextually relevant and accurate outputs. This includes ingesting, processing, and ...
Additionally, the candidate will implement Retrieval-Augmented Generation (RAG) models and fine-tune open-source models from leading providers like Meta, Google, Deepseek, and Nvidia. Collaboration ...
Additionally, the candidate will implement Retrieval-Augmented Generation (RAG) models and fine-tune open-source models from leading providers like Meta, Google, Deepseek, and Nvidia. Collaboration ...
Build Retrieval-Augmented Generation pipelines with vector databases (OpenSearch, etc.) for knowledge-driven AI applications. * Create end-to-end pipelines for model lifecycle (training, deployment ...
Build Retrieval-Augmented Generation pipelines with vector databases (OpenSearch, etc.) for knowledge-driven AI applications. * Create end-to-end pipelines for model lifecycle (training, deployment ...
RAG (Retrieval-Augmented Generation) * Multi-Agent Architectures * MCP (Model Context Protocol) * Agentic Services and Autonomous AI Workflows Responsibilities: * Deploy and integrate GenAI tools ...
New
RAG (Retrieval-Augmented Generation) * Multi-Agent Architectures * MCP (Model Context Protocol) * Agentic Services and Autonomous AI Workflows Responsibilities: * Deploy and integrate GenAI tools ...
New
GCP Gen AI Architect
Boston, MA · On-site
Build Retrieval-Augmented Generation (RAG) pipelines to improve the quality of AI-generated responses. Collaborate with various stakeholders to integrate and deploy AI models into production ...
Quick apply
GCP Gen AI Architect
Boston, MA · On-site
Build Retrieval-Augmented Generation (RAG) pipelines to improve the quality of AI-generated responses. Collaborate with various stakeholders to integrate and deploy AI models into production ...
Senior AI Developer
Phoenix, AZ · Hybrid
$54 - $71.50/hr
Design and implement GenAI applications using Retrieval-Augmented Generation (RAG) in production settings. Build and optimize document ingestion pipelines and document processing workflows utilizing ...
Senior AI Developer
Phoenix, AZ · Hybrid
$54 - $71.50/hr
Design and implement GenAI applications using Retrieval-Augmented Generation (RAG) in production settings. Build and optimize document ingestion pipelines and document processing workflows utilizing ...
Utilize vector databases (Pinecone, Milvus, Weaviate) for agent memory and architect Retrieval-Augmented Generation (RAG) pipelines to enhance LLM accuracy and contextual understanding. Prompt ...
Utilize vector databases (Pinecone, Milvus, Weaviate) for agent memory and architect Retrieval-Augmented Generation (RAG) pipelines to enhance LLM accuracy and contextual understanding. Prompt ...
Software Engineering Intern
Pittsburgh, PA · On-site
Basic understanding of Retrieval-Augmented Generation (RAG) and vector databases. * Comfortable working with LLM APIs and integrating them into applications. * A solid understanding of machine ...
Software Engineering Intern
Pittsburgh, PA · On-site
Basic understanding of Retrieval-Augmented Generation (RAG) and vector databases. * Comfortable working with LLM APIs and integrating them into applications. * A solid understanding of machine ...
... Retrieval-Augmented Generation (RAG) concepts for knowledge-based solutions Design AI-assisted chatbots and intelligent assistants Strengthen data interpretation and AI-assisted decision-making ...
... Retrieval-Augmented Generation (RAG) concepts for knowledge-based solutions Design AI-assisted chatbots and intelligent assistants Strengthen data interpretation and AI-assisted decision-making ...
Entry Level Retrieval Augmented Generation information
What are entry level retrieval augmented generation jobs?
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.
Is it entree or entry?
The correct term for the job level is 'entry' level, as in Entry Level Retrieval Augmented Generation roles. These positions typically require minimal professional experience and focus on foundational skills in data retrieval and AI tools. 'Entree' is a culinary term and not related to job levels or titles.
What does entry mean?
In the context of an Entry Level Retrieval Augmented Generation role, 'entry' typically refers to a position suitable for candidates with minimal professional experience or those new to the field. It often involves basic tasks and may require foundational skills in data retrieval, natural language processing, or related tools, with opportunities for on-the-job training and skill development.
What are the key skills and qualifications needed to thrive as an Entry Level Retrieval Augmented Generation Specialist, and why are they important?
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.
Is it entry or entery?
The correct term for the job level is 'entry' in Entry Level Retrieval Augmented Generation roles. There is no such term as 'entery' in this context. Entry-level positions typically require basic skills and may involve training or onboarding for new professionals.
What is the synonym of entry?
In the context of an Entry Level Retrieval Augmented Generation role, a synonym for 'entry' is 'beginning' or 'initial,' referring to a starting position that typically requires minimal experience. Such roles often serve as a stepping stone for developing skills in data retrieval, natural language processing, and AI tools.
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 (RAG) 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.
More about Entry Level Retrieval Augmented Generation jobs
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What are the most commonly searched types of Retrieval Augmented Generation jobs? The most popular types of Retrieval Augmented Generation jobs are:
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What job categories do people searching Entry Level Retrieval Augmented Generation jobs look for? The top searched job categories for Entry Level Retrieval Augmented Generation jobs are:
Other
Posted 16 days ago
Job description
Title: AI Developer
Location: Tampa, FL/ Dallas, TX (onsite)
Type: Fulltime permanent role
Job Description:
Must Have Technical/Functional Skills
Strong knowledge and deep experience of Python and Toolchains, Java, SQL, JavaScript (D3.js), Bash
Experienced in and strong knowledge of using Gen AI, AI/ML and more particularly LLMs eager to apply this rapidly changing Technology
Machine Learning: Neural Networks, Decision Trees, SVM, NLP, Reinforcement Learning, Ensemble Methods, MCP
Strong knowledge with RAG (Retrieval-Augmented Generation), Prompt Engineering, Agentic AI
Knowledge of advanced statistical/machine learning techniques, Algorithms, Concepts and Experience in the Applications
Data Processing: Hadoop, Spark, Kafka, Hive, NumPy, Pandas, Matplotlib
Experience with CI/CD and MLOps tools/frameworks (e.g. MLflow and W&B)
Strong Distributed Systems Skills and Knowledge
Knowledge of other modern, functional languages e.g. Scala, Clojure, Rust, Elixir
Solid understanding of REST-ful Design
Experience with Kubernetes
Roles & Responsibilities
Generative AI & Machine Learning Leadership
Design, develop, and deploy Generative AI and Large Language Model (LLM) solutions to solve complex business problems.
Lead implementation of advanced GenAI patterns, including Retrieval Augmented Generation (RAG), prompt engineering, and agentic AI workflows.
Continuously evaluate and apply emerging AI/ML technologies, frameworks, and research to improve model quality, performance, and scalability.
Translate business requirements into AI driven solutions with measurable outcomes.
Machine Learning & Advanced Analytics
Build, train, tune, and deploy machine learning models, including:
o Neural Networks
o Decision Trees
o SVMs
o NLP models
o Reinforcement Learning systems
o Ensemble techniques
Apply advanced statistical and ML algorithms to real world data for prediction, classification, and optimization problems.
Ensure model robustness, explainability, and performance across production environments.
Software Engineering & Development
Develop high quality, scalable solutions using Python, with strong use of Java, SQL, Bash, and JavaScript (D3.js) as required.
Design and implement RESTful APIs and microservices to expose AI/ML capabilities.
Follow software engineering best practices including clean code, testing, and documentation.
Krishan Kumar Sr. IT Recruiter
Last Word Consulting Inc.
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About Last Word Consulting
Sourced by ZipRecruiter
Company size
51 - 200 Employees
Headquarters location
Laurel Springs, NJ, US