AI/ML Engineer
Aventura, FL · On-site
Implement RAG (Retrieval-Augmented Generation) applications to enhance AI systems with dynamic information retrieval. * Build and integrate AI agentic frameworks for autonomous decision-making and ...
AI/ML Engineer
Aventura, FL · On-site
Implement RAG (Retrieval-Augmented Generation) applications to enhance AI systems with dynamic information retrieval. * Build and integrate AI agentic frameworks for autonomous decision-making and ...
Responsibilities : • Design and implement guardrail systems for securing LLM inputs and outputs in production environments • Secure Retrieval-Augmented Generation (RAG) pipelines, vector ...
Responsibilities : • Design and implement guardrail systems for securing LLM inputs and outputs in production environments • Secure Retrieval-Augmented Generation (RAG) pipelines, vector ...
AI/ML Engineer
Aventura, FL · On-site
Implement RAG (Retrieval-Augmented Generation) applications to enhance AI systems with dynamic information retrieval. * Build and integrate AI agentic frameworks for autonomous decision-making and ...
AI/ML Engineer
Aventura, FL · On-site
Implement RAG (Retrieval-Augmented Generation) applications to enhance AI systems with dynamic information retrieval. * Build and integrate AI agentic frameworks for autonomous decision-making and ...
Experience developing, evaluating, or integrating generative AI, large language models, retrieval-augmented generation, AI agents, natural language processing, computer vision, or predictive ...
Experience developing, evaluating, or integrating generative AI, large language models, retrieval-augmented generation, AI agents, natural language processing, computer vision, or predictive ...
Some are conventional web applications with discrete AI integrations; others are built around retrieval-augmented generation, multi-agent orchestration, or similar applied AI architectures. You will ...
Some are conventional web applications with discrete AI integrations; others are built around retrieval-augmented generation, multi-agent orchestration, or similar applied AI architectures. You will ...
Experience developing, evaluating, or integrating generative AI, large language models, retrieval-augmented generation, AI agents, natural language processing, computer vision, or predictive ...
Experience developing, evaluating, or integrating generative AI, large language models, retrieval-augmented generation, AI agents, natural language processing, computer vision, or predictive ...
Some are conventional web applications with discrete AI integrations; others are built around retrieval-augmented generation, multi-agent orchestration, or similar applied AI architectures. You will ...
Some are conventional web applications with discrete AI integrations; others are built around retrieval-augmented generation, multi-agent orchestration, or similar applied AI architectures. You will ...
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 ...
Define end-to-end architectures for complex Gen AI solutions, including Retrieval-Augmented Generation (RAG) pipelines, multimodal models, and autonomous multi-agent systems Reusable Patterns:
Define end-to-end architectures for complex Gen AI solutions, including Retrieval-Augmented Generation (RAG) pipelines, multimodal models, and autonomous multi-agent systems Reusable Patterns:
You will work on NLP/GenAI use cases such as classification, summarization, and retrieval-augmented generation (RAG), partnering with product and engineering teams to deliver scalable, secure, and ...
You will work on NLP/GenAI use cases such as classification, summarization, and retrieval-augmented generation (RAG), partnering with product and engineering teams to deliver scalable, secure, and ...
Smart assistants Automated decision-making flows Document processing / summarization systems Implement prompt engineering, RAG (Retrieval-Augmented Generation), and tool chaining AI Tools ...
Smart assistants Automated decision-making flows Document processing / summarization systems Implement prompt engineering, RAG (Retrieval-Augmented Generation), and tool chaining AI Tools ...
Architect a high-throughput Retrieval-Augmented Generation (RAG) pipeline that ingests streaming telemetry, PCAP files, and syslog data into Vector Databases for real-time agent context. • Network ...
Architect a high-throughput Retrieval-Augmented Generation (RAG) pipeline that ingests streaming telemetry, PCAP files, and syslog data into Vector Databases for real-time agent context. • Network ...
Preferred qualifications, capabilities, and skills • Familiarity with the financial services industries. • Expertise in designing and implementing pipelines using Retrieval-Augmented Generation ...
Preferred qualifications, capabilities, and skills • Familiarity with the financial services industries. • Expertise in designing and implementing pipelines using Retrieval-Augmented Generation ...
... retrieval-augmented generation (RAG), and context management. Solution Development • Build end-to-end AI applications using Python, integrating with APIs, databases, and cloud-native services. • ...
... retrieval-augmented generation (RAG), and context management. Solution Development • Build end-to-end AI applications using Python, integrating with APIs, databases, and cloud-native services. • ...
... Retrieval-Augmented Generation (RAG) architectures • Build AI agents and multi-agent workflows for enterprise use cases • Design enterprise knowledge retrieval and semantic search solutions • ...
... Retrieval-Augmented Generation (RAG) architectures • Build AI agents and multi-agent workflows for enterprise use cases • Design enterprise knowledge retrieval and semantic search solutions • ...
... Retrieval-Augmented Generation (RAG) architectures, including integrating external data sources and vector databases to enhance LLM outputs. • Strong understanding of prompt engineering, fine ...
... Retrieval-Augmented Generation (RAG) architectures, including integrating external data sources and vector databases to enhance LLM outputs. • Strong understanding of prompt engineering, fine ...
Software Engineer
Juno Beach, FL · On-site
S. without sponsorship Preferred Skills - Experience with large language models (LLMs) - Familiarity with AI application frameworks and retrieval-augmented generation (RAG) - Background in AWS cloud ...
Software Engineer
Juno Beach, FL · On-site
S. without sponsorship Preferred Skills - Experience with large language models (LLMs) - Familiarity with AI application frameworks and retrieval-augmented generation (RAG) - Background in AWS cloud ...
Exposure to vector databases , embeddings, and Retrieval-Augmented Generation (RAG) architectures. * Experience with prompt engineering, AI agents, agentic workflows, or multi-agent systems.
Exposure to vector databases , embeddings, and Retrieval-Augmented Generation (RAG) architectures. * Experience with prompt engineering, AI agents, agentic workflows, or multi-agent systems.
Urgent On-Site Opening for Data Scientist - Juno Beach, FL - Need Local to FL Only.
Juno Beach, FL · On-site
Apply LLMs and RAG (Retrieval-Augmented Generation) frameworks to automate reporting, market analysis, and insight generation. * Fine-tune and evaluate generative AI models for quantitative and text ...
Quick apply
Urgent On-Site Opening for Data Scientist - Juno Beach, FL - Need Local to FL Only.
Juno Beach, FL · On-site
Apply LLMs and RAG (Retrieval-Augmented Generation) frameworks to automate reporting, market analysis, and insight generation. * Fine-tune and evaluate generative AI models for quantitative and text ...
Principal AI Software Engineer (TS/SCI + Poly) (Fort Meade)
Fort Meade, FL · On-site
$112K - $150K/yr
Nice to Have Proficiency in approaches to retrieval augmented generation (RAG), model context protocol (MCP) and other recent technologies supporting agentic AI. Foundational knowledge of statistics ...
Principal AI Software Engineer (TS/SCI + Poly) (Fort Meade)
Fort Meade, FL · On-site
$112K - $150K/yr
Nice to Have Proficiency in approaches to retrieval augmented generation (RAG), model context protocol (MCP) and other recent technologies supporting agentic AI. Foundational knowledge of statistics ...
Temporary Retrieval Augmented Generation information
What is the difference between Temporary Retrieval Augmented Generation vs Data Scientist?
| 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.
What are the most commonly searched types of Retrieval Augmented Generation jobs in Florida? The most popular types of Retrieval Augmented Generation jobs in Florida are:
What are popular job titles related to Temporary Retrieval Augmented Generation jobs in Florida? For Temporary Retrieval Augmented Generation jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Temporary Retrieval Augmented Generation jobs in Florida look for? The top searched job categories for Temporary Retrieval Augmented Generation jobs in Florida are:
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Full-time
Re-posted 29 days ago
Job description
We are a leading provider of reverse logistics and returns management solutions, leveraging technology to optimize supply chains and maximize value recovery. We are expanding our AI/ML capabilities to include generative AI-driven solutions, RAG applications, and predictive models for retail pricing using collected data from multiple sources.
We are seeking an AI/ML Engineer with expertise in generative AI, RAG applications, AI agentic frameworks, and predictive modeling. This role will focus on developing pricing models for retail products, enhancing operational efficiency through AI automation, and applying cutting-edge techniques in LLMs, NLP, and agentic AI frameworks.
Primary Responsibilities/Essential FunctionsThis job description in no way states or implies that these are the only duties to be performed by the teammate occupying this position. The selected candidate may perform other related duties assigned to meet the ongoing needs of the business.
Key ResponsibilitiesDesign, build, and deploy predictive models for retail pricing using data from various internal and external sources.
Develop and fine-tune generative AI models (LLMs) for automation, data augmentation, and content generation.
Implement RAG (Retrieval-Augmented Generation) applications to enhance AI systems with dynamic information retrieval.
Build and integrate AI agentic frameworks for autonomous decision-making and task automation.
Build and maintain scalable machine learning pipelines for data processing, training, and inference.
Collaborate with cross-functional teams (data engineering, operations, and business) to define AI/ML use cases and deliver solutions.
Monitor and improve model performance, ensuring robustness, scalability, and reliability.
Utilize tools like OpenAI API, Hugging Face, LangChain, LlamaIndex, and cloud platforms (AWS, Azure, GCP) for AI development and deployment.
Required:
· 5+ years of experience in AI/ML engineering with a strong focus on generative AI, RAG applications, and predictive modeling.
· Proficiency in Python and AI/ML libraries like TensorFlow, PyTorch, and Scikit-Learn.
· Hands-on experience with LLMs, NLP models, prompt engineering, and tools like OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex, and AI agentic frameworks.
· Strong understanding of data preprocessing, feature engineering, and model selection for time series and pricing data.
· Experience in building and deploying ML models on cloud platforms (AWS SageMaker, GCP Vertex AI, or Azure ML).
· Knowledge of MLOps best practices, including CI/CD pipelines, version control, and model monitoring.
· Excellent problem-solving skills and ability to communicate complex AI concepts clearly.
Preferred:
· Experience with AI-driven pricing optimization in retail, logistics, or e-commerce.
· Experience developing and deploying RAG systems for dynamic content retrieval.
· Familiarity with AI agentic frameworks for building autonomous AI agents.
· Prior work in AI automation for supply chain, demand forecasting, or pricing strategies.
· Strong knowledge of AI/ML ethics, ensuring fairness and bias mitigation in models.