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Ai Rag Jobs in Florida (NOW HIRING)

Capco

Mid Level AI Engineer

Orlando, FL · Hybrid

Develop and optimize Retrieval-Augmented Generation (RAG) solutions leveraging vector databases and enterprise knowledge sources. * Create intelligent AI agents and workflows capable of interacting ...

Capco

Mid Level AI Engineer

Orlando, FL · Hybrid

Develop and optimize Retrieval-Augmented Generation (RAG) solutions leveraging vector databases and enterprise knowledge sources. * Create intelligent AI agents and workflows capable of interacting ...

PODS

Engineer IV - Applied AI

Clearwater, FL · On-site

Leverages existing large language models (LLMs), retrieval-augmented generation (RAG) architectures ... ESSENTIAL DUTIES AND RESPONSIBILITIES AI Solution Design & Development • Design, develop ...

Brillius

AI Architect

Miami, FL · On-site

Job Title AI Architect Estimated Start Date ASAP Location Miami, FL Duration(Months) 6 months ... Proven track record architecting RAG systems, vector search, and LLM-based knowledge platforms.

Merican

AI Solution Architect

Rocky Point, FL · On-site

$59.50 - $78.50/hr

Retrieval-Augmented Generation (RAG) * Semantic Search * MLOps Tools * Cloud-Native Architecture * Microservices * Kubernetes * Agile Delivery Job Summary We are seeking an experienced AI Solution ...

Prophecy Technologies

Python AI Engineer

Tampa, FL · On-site

Knowledge of Retrieval-Augmented Generation (RAG) * Familiarity with Agentic AI frameworks * Natural Language Processing (NLP) * NoSQL GraphDB Qualifications: * 4-6 years of experience in AI ...

Inficare Technologies

AI Engineer

Sunrise, FL · On-site

Experience with LangGraph, RAG, or MCP-style integrations * Hands-on experience with generative AI and prompt engineering * Experience with CI/CD pipelines and containerized deployments Preferred ...

Citi

Principal AI Engineer - Vice President

Tampa, FL · On-site

LLM, RAG, and Generative AI Engineering Build advanced Retrieval-Augmented Generation (RAG) architectures, including hybrid retrieval, query planning, and retrieval optimization Develop, tune, and ...

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Ai Rag information

What is an AI RAG?

AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.

What are the key skills and qualifications needed to thrive as an AI researcher?

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.

What are common challenges faced by AI RAG engineers when integrating retrieval systems with large language models?

AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.

What is the difference between Ai Rag vs Data Analyst?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

What are popular job titles related to Ai Rag jobs in Florida?

For Ai Rag jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Ai Rag jobs in Florida look for?

The top searched job categories for Ai Rag jobs in Florida are:

What cities in Florida are hiring for Ai Rag jobs?

Cities in Florida with the most Ai Rag job openings:

Ai Rag jobs near you
Infographic showing various Ai Rag job openings in Florida as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Mid Level AI Engineer

Orlando, FL • Hybrid

Capco
Guided Missile and Space Vehicle Manufacturing • 201 - 500 employees
Learn more about Capcoexternal

Full-time

Medical, Dental, Vision, Retirement

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

Key responsibilities

  • Design, build, and deploy AI-powered applications using Large Language Models, foundation models, and modern Generative AI frameworks.

  • Develop and optimize Retrieval-Augmented Generation (RAG) solutions leveraging vector databases and enterprise knowledge sources.

  • Create intelligent AI agents and workflows capable of interacting with APIs, external tools, and business systems.

Job description

Mid Level AI Engineer

Location: Orlando, FL, USA (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent

Build the next generation of AI-powered solutions using Large Language Models, agentic systems, and cutting-edge Generative AI technologies.

The Role

Capco is seeking a Generative AI Engineer to help design, develop, and deploy intelligent applications powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agent-based architectures. You will work alongside software engineers, product managers, and AI specialists to deliver scalable, production-grade AI solutions that solve complex business challenges and create exceptional user experiences.

This is an exciting opportunity to join a fast-growing AI capability, working on innovative solutions that transform how organizations leverage Generative AI technologies.

What You'll Do
  • Design, build, and deploy AI-powered applications using Large Language Models, foundation models, and modern Generative AI frameworks.
  • Develop and optimize Retrieval-Augmented Generation (RAG) solutions leveraging vector databases and enterprise knowledge sources.
  • Create intelligent AI agents and workflows capable of interacting with APIs, external tools, and business systems.
  • Build scalable REST APIs, backend services, and cloud-native architectures to support AI-powered products.
  • Collaborate with cross-functional teams to translate business requirements into robust, production-ready AI solutions.
What We're Looking For
  • 2-3 years of professional software; AI engineering experience.
  • Hands-on experience building applications using Generative AI technologies, Large Language Models, and leading LLM providers such as OpenAI, Anthropic, Gemini, Azure OpenAI, or open-source models.
  • Strong Python development skills with experience building REST APIs, microservices, and scalable backend applications.
  • Practical experience implementing RAG architectures using vector databases such as Pinecone, Weaviate, Chroma, Qdrant, or FAISS.
  • Understanding of software engineering best practices including Git, CI/CD, testing, code reviews, and cloud platforms such as AWS, Azure, or Google Cloud.
Bonus Points For
  • Experience building multi-agent AI systems using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar technologies.
  • Familiarity with Model Context Protocol (MCP) and emerging agent interoperability standards.
  • Experience with LLM observability and evaluation platforms such as LangSmith, Langfuse, Arize, or similar tools.
  • Experience deploying containerized applications using Docker and Kubernetes.
  • Exposure to frontend technologies such as React, TypeScript, modern web frameworks, or contributions to open-source AI projects.
Why Join Capco
  • Deliver high-impact technology solutions for Tier 1 financial institutions.
  • Work in a collaborative, flat, and entrepreneurial consulting culture.
  • Access continuous learning, training, and industry certifications.
  • Be part of a team shaping the future of digital financial services.
  • Help shape the future of digital transformation across FS & Energy.
Benefits
  • Medical, Dental, and Vision coverage.
  • 401(k) with company match.
  • Maternity and paternity leave, plus dependent care support.
  • Tuition reimbursement, wellness reimbursement, HSA and FSA options.
  • Commuter benefits and access to the Working Advantage employee discount marketplace.
Inclusion at Capco

We're committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know - we'll be happy to help. We value each person's unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration - a mindset that shapes how we work with clients and each other every day.

Use of Artificial Intelligence in Talent Acquisition

At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.

AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.

We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.

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About Capco

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

201 - 500 Employees

Headquarters location

Grand Junction, CO, US

Year founded

1958

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