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Rag Engineer Jobs in Florida (NOW HIRING)

Senior AI Engineer

Orlando, FL · On-site

$95K - $131K/yr

Senior AI Engineer Orlando, FL (Hybrid) Position Summary Thales is looking for a Senior AI Engineer ... Architect, develop, and operationalize advanced AI systems, including agentic AI architectures, RAG ...

Senior AI Engineer

Orlando, FL · On-site

$97K - $134K/yr

Senior AI Engineer Orlando, FL (Hybrid) Position Summary Thales is looking for a Senior AI Engineer ... Architect, develop, and operationalize advanced AI systems, including agentic AI architectures, RAG ...

Senior AI Engineer

Orlando, FL · On-site

$120.38 - $204.66/hr

Senior AI EngineerSkip to main content#Senior AI Engineer page is loaded## Senior AI ... Architect, develop, and operationalize advanced AI systems, including agentic AI architectures, RAG ...

They are seeking an IT AI Innovation Engineer responsible for designing, building, and maintaining ... Build advanced AI workflows such as retrieval-augmented generation (RAG) pipelines, prompt chaining ...

This is a senior, hands‑on engineering position with no people management responsibilities. A ... OpenAI, Anthropic, Gemini, RAG, vector databases, embeddings, AI orchestration * Cloud ...

... Engineering, RAG Architecture, Agentic AI. • Basic knowledge of Hybrid prompting technique • Knowledge in Generative AI tools like LangChain, Hugging Face, Llama Index etc. Preferred : • ...

Sr. AI Engineer

Orlando, FL · Hybrid

$97K - $134K/yr

Design and build applications using foundation models and modern GenAI techniques (e.g., RAG, agent ... engineering experience with exposure to AI/ML or data-driven applications * Hands-on experience ...

Data Engineer

West Palm Beach, FL · On-site

$110K - $133K/yr

... as RAG. This role works closely with AI Engineers, solution architects, and platform teams to ... ensure data infrastructure is production-ready, secure, and aligned with GEI standards. Essential ...

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ... Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ...

... as RAG. This role works closely with AI Engineers, solution architects, and platform teams to ... ensure data infrastructure is production-ready, secure, and aligned with GEI standards. Essential ...

Apply modern agent architecture patterns including RAG, tool use, orchestration, memory, and ... Establish engineering standards and best practices for agentic systems, including observability ...

Senior Agentic (AI) Engineer

Tampa, FL · On-site +1

$98K - $135K/yr

Strong RAG fundamentals chunking, embeddings, hybrid retrieval, reranking, grounding - and judgment ... Solid systems engineering instincts APIs, async patterns, queues, databases, distributed system ...

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ... Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ...

Forward Deployed Engineer

Tampa, FL · On-site

$125K - $160K/yr

Experience with LLM application patterns: tool/function calling, RAG, prompt architecture ... Client engineering and operations teams trust PRESHai because they trust you. * The patterns you ...

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ... Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ...

Showing results 21-40

Rag Engineer information

See Florida salary details

$44.5K

$67.6K

$114.7K

How much do rag engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for rag engineer in Florida is $67,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,200.00 and $78,500.00 per year, depending on experience, location, and employer.

What is the difference between Rag Engineer vs Textile Technician?

AspectRag EngineerTextile Technician
Required CredentialsEngineering degree, technical certificationsDiploma or degree in textiles or related field
Work EnvironmentFactories, manufacturing plants, R&D labsTextile mills, production facilities, quality control labs
Industry UsageDesigning and improving rag production processesMonitoring textile quality, testing fabrics

While both roles involve working within the textile industry, a Rag Engineer primarily focuses on the engineering aspects of rag production, process optimization, and machinery, whereas a Textile Technician concentrates on fabric testing, quality control, and ensuring textile standards are met. The roles often overlap in industry settings but differ in technical focus and responsibilities.

What cities in Florida are hiring for Rag Engineer jobs? Cities in Florida with the most Rag Engineer job openings:
Infographic showing various Rag Engineer job openings in Florida as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $67,638 per year, or $32.5 per hour.

Forward Deployed Engineer Agentic AI

Talent Search PRO

Daytona Beach, FL

$200K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted yesterday

New


Job description

Forward Deployed Engineer – Agentic AI


Salary: $200,000 – $250,000 + Bonus

Why This Role?
  • Work on enterprise-scale GenAI and Agentic AI initiatives
  • Exposure to Fortune 2000 AI transformation programs
  • High visibility with executive stakeholders and enterprise clients
  • Strong compensation package with bonus eligibility
  • Medical, dental, vision, 401(k) match, paid parental leave, PTO, and disability coverage
About the Role

Seeking a Forward Deployed Engineer to help enterprise clients design, prototype, and scale GenAI and Agentic AI solutions. This role sits at the intersection of engineering, solution architecture, and executive-facing consulting.

You will work directly with senior business leaders and technical teams to rapidly build proof-of-value solutions, architect scalable AI systems, and accelerate enterprise AI adoption across complex environments.

This is a highly hands-on role focused on shipping real AI systems, not presentations.

Responsibilities
  • Partner with enterprise stakeholders to identify AI opportunities and define measurable business outcomes
  • Build rapid proof-of-value and MVP AI solutions using modern GenAI and agentic frameworks
  • Design scalable AI architectures including orchestration, governance, observability, and security controls
  • Develop AI workflows with tool integrations, enterprise data connectivity, and lightweight user experiences
  • Implement RAG architectures, vector search, retrieval strategies, and evaluation frameworks
  • Integrate AI solutions with enterprise platforms including AWS, Azure, GCP, Salesforce, SAP, ServiceNow, and Microsoft ecosystems
  • Support technical discovery sessions, workshops, demos, and executive presentations
  • Create reusable AI accelerators, templates, evaluation suites, and reference architectures
  • Collaborate with engineering, cloud, product, and delivery teams to transition solutions into production environments
Requirements
  • 8+ years of experience in software engineering, AI engineering, solution architecture, or technical consulting
  • Strong experience building enterprise GenAI or Agentic AI solutions
  • Experience with LLM orchestration, tool-calling, planning workflows, and human-in-the-loop systems
  • Hands-on experience with RAG pipelines, vector databases, embeddings, and retrieval evaluation
  • Strong full-stack engineering fundamentals including APIs, integrations, distributed systems, and cloud-native architectures
  • Proficiency in Python and at least one additional language such as TypeScript, Java, or Go
  • Experience with AWS, Azure, or GCP environments
  • Familiarity with CI/CD, containers, observability, and AI governance concepts
  • Strong communication skills with the ability to engage executive stakeholders
  • Bachelor’s degree required
Preferred Background
  • Experience deploying production-grade GenAI systems
  • Consulting or client-facing engineering experience preferred
  • Exposure to AI governance, AgentOps, telemetry, and compliance frameworks
  • Experience within enterprise AI consulting or hyperscaler ecosystems is highly valued
  • Background supporting industries such as financial services, retail, manufacturing, hospitality, or healthcare is a plus
Additional Details
  • Full-time opportunity
  • Bonus eligible
  • Occasional travel required for workshops and client engagements
  • Sponsorship not available
  • Candidates should have fewer than 10 years of total experience preferred by the hiring team