Create and architect interpreters, Agented Systems, and integrate multi-hop RAG and other LLM ... Provide AI/ML technical leadership and mentorship to other engineers on the team. Ensure that LLM ...
Create and architect interpreters, Agented Systems, and integrate multi-hop RAG and other LLM ... Provide AI/ML technical leadership and mentorship to other engineers on the team. Ensure that LLM ...
Create and architect interpreters, Agented Systems, and integrate multi-hop RAG and other LLM ... Provide AI/ML technical leadership and mentorship to other engineers on the team. * Ensure that LLM ...
Create and architect interpreters, Agented Systems, and integrate multi-hop RAG and other LLM ... Provide AI/ML technical leadership and mentorship to other engineers on the team. * Ensure that LLM ...
Job : Backend Python Developer - AI/ML Location : Orlando preferable, Las Vegas Skills : Python ... LLM inference services and agent-based tools * Familiarity with vector databases and RAG workflows
Quick apply
Job : Backend Python Developer - AI/ML Location : Orlando preferable, Las Vegas Skills : Python ... LLM inference services and agent-based tools * Familiarity with vector databases and RAG workflows
Sr. AI/ML Engineer (LLM)
Miami, FL · On-site
$99K - $137K/yr
Create and architect interpreters, Agented Systems, and integrate multi-hop RAG and other LLM ... Provide AI/ML technical leadership and mentorship to other engineers on the team. * Ensure that LLM ...
Sr. AI/ML Engineer (LLM)
Miami, FL · On-site
$99K - $137K/yr
Create and architect interpreters, Agented Systems, and integrate multi-hop RAG and other LLM ... Provide AI/ML technical leadership and mentorship to other engineers on the team. * Ensure that LLM ...
AI/ML Engineer
Tampa, FL · Hybrid
Design, develop, and maintain RAG pipelines, including document ingestion, embedding generation ... and LLM orchestration. * Build and optimize LLMpowered applications for classification ...
AI/ML Engineer
Tampa, FL · Hybrid
Design, develop, and maintain RAG pipelines, including document ingestion, embedding generation ... and LLM orchestration. * Build and optimize LLMpowered applications for classification ...
AI/ML Engineer
Miami, FL · On-site +1
$120K - $150K/yr
Build and optimize Generative AI and LLM-based applications. * Fine-tune foundation models for ... Develop Retrieval-Augmented Generation (RAG) pipelines. * Work with vector databases for semantic ...
Quick apply
AI/ML Engineer
Miami, FL · On-site +1
$120K - $150K/yr
Build and optimize Generative AI and LLM-based applications. * Fine-tune foundation models for ... Develop Retrieval-Augmented Generation (RAG) pipelines. * Work with vector databases for semantic ...
AI/ML Engineer
Tampa, FL · On-site
$108K - $185K/yr
Design, develop, and maintain RAG pipelines, including document ingestion, embedding generation ... Build and optimize LLM-powered applications for classification, summarization, Q&A, knowledge ...
AI/ML Engineer
Tampa, FL · On-site
$108K - $185K/yr
Design, develop, and maintain RAG pipelines, including document ingestion, embedding generation ... Build and optimize LLM-powered applications for classification, summarization, Q&A, knowledge ...
AI/ML Engineer
Tampa, FL · Hybrid
$108K - $185K/yr
Design, develop, and maintain RAG pipelines, including document ingestion, embedding generation ... LLM orchestration. * Build and optimize LLM‑powered applications for classification ...
AI/ML Engineer
Tampa, FL · Hybrid
$108K - $185K/yr
Design, develop, and maintain RAG pipelines, including document ingestion, embedding generation ... LLM orchestration. * Build and optimize LLM‑powered applications for classification ...
LLM Operations Engineer
$63K - $86K/yr
Operationalize ML models using MLflow (tracking, artifacts, metrics, model registry, approvals ... Design, deploy, and operate LLMOps pipelines for Retrieval‑Augmented Generation (RAG), including ...
LLM Operations Engineer
$63K - $86K/yr
Operationalize ML models using MLflow (tracking, artifacts, metrics, model registry, approvals ... Design, deploy, and operate LLMOps pipelines for Retrieval‑Augmented Generation (RAG), including ...
... AI/ML Engineer with hands-on experience building, fine-tuning, and deploying LLM-based solutions ... RAG), partnering with product and engineering teams to deliver scalable, secure, and measurable ...
... AI/ML Engineer with hands-on experience building, fine-tuning, and deploying LLM-based solutions ... RAG), partnering with product and engineering teams to deliver scalable, secure, and measurable ...
Gen AI Engineer
Lake Mary, FL · Hybrid
... ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines including data ingestion, preprocessing modules, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM ...
Gen AI Engineer
Lake Mary, FL · Hybrid
... ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines including data ingestion, preprocessing modules, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM ...
Gen AI Engineer
Lake Mary, FL · Hybrid
... ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines including data ingestion, preprocessing modules, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM ...
Gen AI Engineer
Lake Mary, FL · Hybrid
... ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines including data ingestion, preprocessing modules, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM ...
Developing AI/ML algorithms and models including those designed for Natural Language Processing ... Ensuring all LLM/RAG experimentation and model development adheres to mandatory security and data ...
Quick apply
Developing AI/ML algorithms and models including those designed for Natural Language Processing ... Ensuring all LLM/RAG experimentation and model development adheres to mandatory security and data ...
Machine Learning (ML) Engineer
Tampa, FL · On-site
Developing AI/ML algorithms and models including those designed for Natural Language Processing ... Ensuring all LLM/RAG experimentation and model development adheres to mandatory security and data ...
Machine Learning (ML) Engineer
Tampa, FL · On-site
Developing AI/ML algorithms and models including those designed for Natural Language Processing ... Ensuring all LLM/RAG experimentation and model development adheres to mandatory security and data ...
Artificial Intelligence (AI) Engineer III (2316)
Melbourne, FL · Hybrid
$55 - $62/hr
... LLM solutions such as RAG pipelines, agents, and tool/functioncalling systems. Production MLOps & Model Lifecycle Management Experience owning the endtoend ML lifecycle, including CI/CD, deployment ...
Artificial Intelligence (AI) Engineer III (2316)
Melbourne, FL · Hybrid
$55 - $62/hr
... LLM solutions such as RAG pipelines, agents, and tool/functioncalling systems. Production MLOps & Model Lifecycle Management Experience owning the endtoend ML lifecycle, including CI/CD, deployment ...
Staff AI Engineer
Boca Raton, FL · On-site
... LLM infrastructure GENAI / AGENTIC AI CAPABILITIES * Define and drive vector database and RAG ... ML/AI or software engineering, including 4+ years in senior or staff-level roles with production ...
Staff AI Engineer
Boca Raton, FL · On-site
... LLM infrastructure GENAI / AGENTIC AI CAPABILITIES * Define and drive vector database and RAG ... ML/AI or software engineering, including 4+ years in senior or staff-level roles with production ...
... LLM infrastructure GENAI / AGENTIC AI CAPABILITIES * Define and drive vector database and RAG ... ML/AI or software engineering, including 4+ years in senior or staff-level roles with production ...
... LLM infrastructure GENAI / AGENTIC AI CAPABILITIES * Define and drive vector database and RAG ... ML/AI or software engineering, including 4+ years in senior or staff-level roles with production ...
AI Architect
Miami, FL · On-site
Proven track record architecting RAG systems, vector search, and LLM-based knowledge platforms. * Strong hands-on experience with: o Python o Cloud ML platforms-Azure o Vector DBs (Pinecone, DB ...
Quick apply
AI Architect
Miami, FL · On-site
Proven track record architecting RAG systems, vector search, and LLM-based knowledge platforms. * Strong hands-on experience with: o Python o Cloud ML platforms-Azure o Vector DBs (Pinecone, DB ...
... ML/LLM/GenAI solutions to meet business objectives. • Develop and maintain automated pipelines ... RAG). • Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting ...
... ML/LLM/GenAI solutions to meet business objectives. • Develop and maintain automated pipelines ... RAG). • Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting ...
Principal AI Engineer - Vice President
Tampa, FL · On-site
$120 - $160/hr
LLM, RAG, and Generative AI Engineering * Build advanced Retrieval‑Augmented Generation (RAG ... Strong foundations in ML, NLP, embeddings, statistics, neural networks, and LLMs. * Extensive ...
New
Principal AI Engineer - Vice President
Tampa, FL · On-site
$120 - $160/hr
LLM, RAG, and Generative AI Engineering * Build advanced Retrieval‑Augmented Generation (RAG ... Strong foundations in ML, NLP, embeddings, statistics, neural networks, and LLMs. * Extensive ...
New
Llm Ml Rag information
What are some typical challenges faced when working on retrieval-augmented generation (RAG) systems in large language model (LLM) machine learning roles?
Professionals working on LLM ML RAG systems often encounter challenges such as ensuring the accuracy and relevancy of retrieved documents, managing latency for real-time queries, and seamlessly integrating retrieval mechanisms with generation models. Additionally, keeping up with evolving datasets and maintaining high-quality knowledge bases can be demanding. Collaboration with data engineers and domain experts is common to refine retrieval pipelines and optimize the end-to-end system.
What is the difference between Llm Ml Rag vs Data Scientist?
| Aspect | Llm Ml Rag | Data Scientist |
|---|---|---|
| Required Credentials | Master's or PhD in ML, AI, or related fields; certifications in ML frameworks | Degree in Computer Science, Statistics, or related; certifications in data analysis or ML |
| Work Environment | Research labs, AI development teams, tech companies | Business analytics, research, product development teams |
| Employer & Industry Usage | Tech firms, AI startups, research institutions | Finance, healthcare, tech, consulting firms |
| Common Search & Comparison | Often compared for ML specialization and research focus | Compared for data analysis, modeling, and business insights |
While both roles involve working with machine learning, Llm Ml Rag typically focuses on research and development of large language models, requiring advanced ML expertise. Data Scientists often work on analyzing data, building predictive models, and deriving insights for business decisions. The roles overlap in skills but differ in focus and application areas.
What are the key skills and qualifications needed to thrive as an llm ml rag engineer, and why are they important?
To excel as an LLM ML RAG Engineer, you need a strong background in machine learning, natural language processing, and large language models, typically supported by a degree in computer science or a related field. Proficiency with tools and frameworks like Python, PyTorch/TensorFlow, Hugging Face Transformers, and vector databases (e.g., FAISS, Pinecone) is essential, along with experience in deploying and fine-tuning LLMs and integrating retrieval systems. Strong problem-solving skills, attention to detail, and the ability to collaborate with cross-functional teams distinguish top performers in this role. These skills ensure the effective development and deployment of advanced AI solutions that combine generative and retrieval capabilities for high-impact applications.
What is an llm ml rag job?
LLM ML RAG jobs involve working with Large Language Models (LLMs), Machine Learning (ML), and Retrieval-Augmented Generation (RAG) systems. Professionals in these roles typically design, develop, and optimize AI systems that combine language models with retrieval techniques to improve accuracy, relevance, and factual grounding in generated outputs. These jobs often require expertise in natural language processing, deep learning, data engineering, and information retrieval. Key responsibilities might include integrating RAG pipelines, fine-tuning LLMs, and ensuring high-quality responses from AI applications.
What are popular job titles related to Llm Ml Rag jobs in Florida? For Llm Ml Rag jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Llm Ml Rag jobs in Florida look for? The top searched job categories for Llm Ml Rag jobs in Florida are:
What cities in Florida are hiring for Llm Ml Rag jobs? Cities in Florida with the most Llm Ml Rag job openings:
Full-time
Re-posted 2 days ago
Job description
Job description Company Description Dealer Automation Technologies is a leading Information Technology Services company that provides Software as a Service (SaaS) solutions for the automotive industry. The company specializes in Process Automation, Advanced Analytics, and Augmented Intelligence to redefine dealership operations. With a focus on intuitive user experiences and cutting-edge technologies, Dealer Automation Technologies is paving the way for innovation in the sector.
Combining the agility of a startup with the expertise and business acumen of seasoned leaders, the company operates without dependence on legacy systems, fostering a dynamic and innovative work culture. Role Description This is a full-time, on-site role located in Miami, FL, for a Senior AI/ML Engineer specializing in Large Language Models (LLMs) to join our team. You will play a key role in designing and implementing workflows that leverage large language models (LLMs, LAMs, LMMs, LVLMs, etc.) to automate processes and drive innovation in our products
The ideal candidate will have a deep understanding of NLP, experience with foundational models, and a flexible, problem-solving mindset. You will collaborate closely with cross-functional teams, contributing to the development of scalable AI driven solutions. Other primary responsibilities include designing and implementing machine learning models, particularly in natural language processing and large language models, building scalable algorithms, conducting research on neural networks, and evaluating model performance.
Additionally, the engineer will collaborate with cross-functional teams to ensure seamless integration of AI/ML components into the company's software offerings. Major Areas of Responsibility Design, Implement, and optimize workflows that incorporate large language models to automate and enhance product features. Leverage existing foundational models and adapt them to fit into various product requirements, ensuring alignment with business goals.
Collaborate with product managers, data scientist, and software engineers to integrate LLM-based automation into scalable solutions. Create and architect interpreters, Agented Systems, and integrate multi-hop RAG and other LLM experiences into existing systems to coordinate knowledge responses. Research and evaluate new technologies and methodologies in the LLM space to continuously improve product automation.
Work on the customization and fine-tunning of models to optimize performance for specific use cases. Develop, test, and deploy LLM-based services in production environments. Provide AI/ML technical leadership and mentorship to other engineers on the team.
Ensure that LLM integrations are efficient, scalable, and secure, adhering to industry best practices.