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Retrieval Augmented Generation Jobs in Hialeah, FL

AI/ML Engineer

Miami, FL · On-site +1

$120K - $150K/yr

Develop Retrieval-Augmented Generation (RAG) pipelines. * Work with vector databases for semantic search applications. * Perform data preprocessing, feature engineering, and model evaluation.

Architect and deliver integrated AI solutions, including agentic workflows, retrieval-augmented generation pipelines, and enterprise platform integrations * Define and enforce governance, security ...

Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...

Build and support retrieval-augmented generation (RAG), embeddings, vector search, document ingestion pipelines, prompt workflows, and AI assistant capabilities for internal users and distributor ...

.NET Solution Architect

Doral, FL · On-site

$58.25 - $76.75/hr

Retrieval-Augmented Generation (RAG) * Prompt Engineering * AI orchestration frameworks * Vector databases * AI agents and autonomous workflows * Experience implementing AI-enabled SDLC and developer ...

Tech Lead, Data & Inference Engineer

Miami, FL · On-site

$109K - $131K/yr

This includes enrichment, scoring and quality assurance using large language models and retrieval augmented generation. • Manage version control, caching and evaluation loops. • Work across teams ...

.NET Solution Architect

Doral, FL · On-site

$58.25 - $76.75/hr

Retrieval-Augmented Generation (RAG) * Prompt Engineering * AI orchestration frameworks * Vector databases * AI agents and autonomous workflows * Experience implementing AI-enabled SDLC and developer ...

Demonstrated ability to design and build AI-enabled workflows in legal or professional-services settings, including prompt engineering, retrieval-augmented generation (RAG) concepts, and evaluation ...

.NET Solution Architect

Doral, FL · On-site

$60.25 - $79.50/hr

Retrieval-Augmented Generation (RAG) Prompt Engineering AI orchestration frameworks Vector databases AI agents and autonomous workflows Experience implementing AI-enabled SDLC and developer ...

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Retrieval Augmented Generation information

What does a retrieval augmented generation engineer do?

A Retrieval Augmented Generation engineer typically spends their day designing and implementing systems that combine information retrieval with advanced generative models, such as large language models. This includes fine-tuning models, integrating external data sources, developing vector search pipelines, and evaluating output quality. Collaboration with data scientists, machine learning engineers, and product teams is common to ensure the solutions meet user requirements and scale effectively. Additionally, RAG engineers often troubleshoot issues, monitor model performance in production, and stay informed about the latest advancements in AI and information retrieval.

What is a retrieval augmented generation?

A Retrieval Augmented Generation (RAG) job typically involves developing and optimizing AI systems that enhance text generation by incorporating external knowledge retrieved from relevant sources. Professionals in this field work on integrating retrieval mechanisms with large language models to improve the relevance, accuracy, and factual grounding of generated content. Common responsibilities include designing retrieval systems, fine-tuning language models, optimizing performance, and ensuring the seamless integration of factual data into AI-generated text. This role is highly interdisciplinary, involving expertise in natural language processing (NLP), machine learning, and information retrieval.

What skills and qualifications are needed for retrieval augmented generation?

To thrive in a Retrieval Augmented Generation (RAG) engineering role, you need a solid background in machine learning, natural language processing (NLP), and experience with scalable information retrieval systems, typically supported by a relevant degree in computer science or a related field. Familiarity with tools such as Python, PyTorch or TensorFlow, vector databases, and search platforms like Elasticsearch is essential, along with practical experience deploying and tuning RAG pipelines. Strong problem-solving skills, a collaborative mindset, and effective communication abilities set outstanding professionals apart in this field. These competencies are crucial for designing, implementing, and optimizing hybrid retrieval-generation AI systems that address complex, real-world information needs.

What job categories do people searching Retrieval Augmented Generation jobs in Hialeah, FL look for? The top searched job categories for Retrieval Augmented Generation jobs in Hialeah, FL are:
What cities near Hialeah, FL are hiring for Retrieval Augmented Generation jobs? Cities near Hialeah, FL with the most Retrieval Augmented Generation job openings:
Infographic showing various Retrieval Augmented Generation job openings in Hialeah, FL as of August 2026, with employment types broken down into 62% Full Time, 31% Part Time, 5% Temporary, and 2% Contract. Highlights an 62% Physical, 3% Hybrid, and 35% Remote job distribution.

AI Engineer with Python

Inficare Technologies

Sunrise, FL • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Title: AI Engineer with Python
Location: Sunrise, FL (5 Days Onsite)
Job Type: Contract (Long Term)
Experience: 10+ years
Job Overview
Our client is seeking a seasoned AI Engineer with deep hands-on expertise in Generative AI and Python to join their team onsite in Sunrise, FL. The ideal candidate will have extensive experience building and deploying Gen AI solutions in real production environments.
Key Responsibilities
  • Design, develop, and implement AI/Gen AI solutions using Python
  • Build and deploy applications leveraging LangChain, LangGraph, or other GenAI frameworks
  • Implement Retrieval-Augmented Generation (RAG) pipelines and integrate Large Language Models (LLMs)
  • Deliver Gen AI use cases in live production environments
Required Skills
  • Python programming (hands-on)
  • AI / Generative AI
  • LangChain, LangGraph, or equivalent GenAI programming frameworks
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Proven experience implementing Gen AI in real production environments
Preferred Skills
  • Degree in Computer Science, Engineering, Data Science, or a related field
Location & Work Model
Sunrise, FL - 5 days onsite per week
Engagement Details
Long-term contract engagement. Immediate start preferred.