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Rag Developer Jobs in Florida (NOW HIRING)

PODS

Engineer IV - Applied AI

Clearwater, FL · On-site

Leverages existing large language models (LLMs), retrieval-augmented generation (RAG) architectures, agentic workflows, data platforms, and software engineering practices to develop scalable ...

Rivago infotech inc

AI Architect (GENAI)

Miami, FL · On-site

... engineering; 1-2+ years enterprise AI or agentic system design · Hands-on RAG: LlamaIndex or LangChain, Pinecone, Azure OpenAI · Strong API integration: REST, OAuth · MCP / tool-layer design for ...

Capco

Mid Level AI Engineer

Orlando, FL · On-site

Develop and optimize Retrieval-Augmented Generation (RAG) solutions leveraging vector databases and ... AI engineering experience. * Hands-on experience building applications using Generative AI ...

Capco

Mid Level AI Engineer

Orlando, FL · Hybrid

Develop and optimize Retrieval-Augmented Generation (RAG) solutions leveraging vector databases and ... AI engineering experience. * Hands-on experience building applications using Generative AI ...

Tror AI for everyone

AI Engineer

Lake Mary, FL · On-site

AI Engineer Job Location: Lake Mary, FL (3 Days Onsite) Job Type: Contract Need 11+ Years of ... Retrieval-Augmented generation (RAG) * Document Ingestion and preprocessing * Chunking Strategies ...

Doist

AI Backend Engineer

Fort Lauderdale, FL · On-site

$140 - $210/hr

Build and optimise Retrieval-Augmented Generation (RAG) pipelines and vector search solutions ... Knowledge of prompt engineering and LLM evaluation techniques. * Experience deploying AI ...

New

Luxury Coastal Vacations

Lead Data Engineer

Destin, FL · On-site +1

$93K - $122K/yr

AI and RAG Enablement * Contribute to the team's AI and RAG initiatives: build and maintain the ... Experience leading engineers or delivering through a team, setting technical direction and ...

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Rag Developer information

What is the difference between Rag Developer vs Textile Technician?

AspectRag DeveloperTextile Technician
CredentialsTypically requires a diploma or degree in textiles or related fieldRequires similar qualifications, often with additional certifications in textile testing
Work EnvironmentFactories, textile mills, production plantsLaboratories, quality control departments, manufacturing facilities
Industry UsageUsed in textile manufacturing to develop and process rags for reuse or recyclingInvolved in testing, quality assurance, and technical support in textile production

Both Rag Developers and Textile Technicians work within the textile industry, often in manufacturing settings. Rag Developers focus on creating and processing recycled rags, while Textile Technicians handle testing and quality control. The roles share similar educational backgrounds and work environments, but their specific responsibilities differ based on their focus within textile production.

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Infographic showing various Rag Developer job openings in Florida as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Principal AI Engineer - Vice President

Citigroup, Inc.

Tampa, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

Citibank rating

8.3

Company rating: 8.3 out of 10

Based on 177 frontline employees who took The Breakroom Quiz

39th of 171 rated banks

Job description

The Digital Software Engineering Lead Analyst is a strategic technical leader responsible for designing and engineering enterprise grade Agentic AI solutions capable of integrating data from multiple heterogeneous systems and operating reliably at scale.
You will act as a hands-on architect, engineer, and partner to cross functional teams-including Data Engineering, Architecture, Enterprise Platforms, and Product-defining the technical approach, AI system design, and integration patterns needed to build robustfault tolerantnt AI agents and AIdriven automation capabilities.
This role requires deep technical breadth across machine learning, LLMs, data pipelines, cloud engineering, orchestration, and modern AI frameworks. The solutions you design will enable strategic automation, cognitive decisioning, and dynamic multi-agent workflows across the organization.
Key Responsibilities
AI Solution Architecture & Agentic Systems
  • Design and build agentic AI systems, including autonomous agents, multiagent orchestration, tool use, and adaptive decision-making workflows.
  • Architect fault tolerant, scalable AI solutions using modern agent frameworks (e.g., Google_ADK, LangGraph, LangChain , OpenAI Assistants, CrewAI, AutoGen, custom orchestrators).
  • Define the end-to-end AI system blueprint, including knowledge integration, orchestration, pipelines, observability, governance, and failover strategies.
  • Evaluate and select LLMs, embeddings, vector stores, and middleware best suited for complex enterprise requirements.

Data Integration & Pipeline Engineering
  • Partner with engineering teams to aggregate, ingest, and harmonize data from multiple systems, including APIs, databases, internal platforms, and unstructured sources.
  • Design robust data pipelines optimized for LLM workloads (e.g., chunking, metadata design, semantic indexing, retrieval strategies).
  • Implement mechanisms for ensuring data freshness, quality, and fault tolerance across distributed systems.

LLM, RAG, and Generative AI Engineering
  • Build advanced Retrieval-Augmented Generation (RAG) architectures, including hybrid retrieval, query planning, and retrieval optimization.
  • Develop, tune, and deploy applications leveraging major LLMs (OpenAI, Gemini, Claude, Llama, Mistral, HuggingFace ecosystem).
  • Engineer prompts, system instructions, and reusable prompt templates for deterministic AI behavior.
  • Implement safety guardrails, evaluation pipelines, and bias/error mitigation strategies.

AI Platform Engineering & Deployment
  • Develop cloudnative GenAI applications using containerized infrastructure (Kubernetes, OpenShift, Docker).
  • Build and support production-grade MLOps / AIOps pipelines, including CI/CD, automated testing, monitoring, model versioning, and rollback strategies.
  • Partner with engineering teams to ensure secure, compliant deployment of all AI workloads.

Technical Leadership & Collaboration
  • Serve as technical SME for AI engineering patterns, solution design, and architecture.
  • Mentor mid-level engineers and analysts, guiding best practices in AI build patterns and engineering quality.
  • Influence product and platform strategy by providing insights on emerging GenAI and agentic technologies.

Qualification:
Experience
  • 10+ years of experience in software engineering, AI/ML engineering, systems architecture, or related fields.
  • Proven experience designing and deploying enterprisegrade AI Systems in production.

Required Technical Skills
Core AI/ML & GenAI Expertise
  • Strong foundations in ML, NLP, embeddings, statistics, neural networks, and LLMs.
  • Extensive handson experience with LLMs: Gemini, OpenAI, Claude, Mistral, Llama, opensource models, etc.
  • Deep expertise in RAG architectures, including retrieval optimization, vector search, and semantic data modeling.
  • Experience building agentic AI using Google_ADK or langGraph

Programming & Data Engineering
  • Strong proficiency in Python and libraries such as:
    Pandas, NumPy, scikitlearn, PyTorch, TensorFlow, Transformers, FastAPI, LangChain, LlamaIndex.
  • Hands-on experience with vector databases: Pinecone, PGVector, MongoDB Atlas Vector Search, Neo4j, Milvus, etc.
  • Experience building pipelines for large-scale unstructured data processing.

Cloud, DevOps, & MLOps
  • Strong CI/CD experience: GitLab CI, Jenkins, Azure DevOps, ArgoCD, GitHub Actions.
  • Expertise deploying GenAI solutions in production using:
    Kubernetes, Docker, Helm, serverless runtimes, or cloud-native LLM services.
  • Experience with monitoring, observability, and logging frameworks relevant for AI workloads.

Soft Skills
  • Exceptional problem-solving and analytical skills.
  • Ability to execute independently while operating effectively in ambiguity.
  • Strong collaboration skills across engineering, architecture, and product teams.
  • Deep commitment to ethics, transparency, and responsible AI usage.

Preferred Qualifications
  • Experience building AI systems in regulated or enterprise environments.
  • Experience using knowledge graphs, graph databases, or enterprise metadata systems.
  • Familiarity with AIOps, agent monitoring, or AI governance frameworks.

Education
  • Bachelor's degree or equivalent experience required.
  • Master's degree preferred.

Job Family Group:
Technology
Job Family:
Digital Software Engineering
Time Type:
Full time
Primary Location:
Tampa Florida United States
Primary Location Full Time Salary Range:
$125,600.00 - $188,400.00
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
Jun 25, 2026
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi's EEO Policy Statement and the Know Your Rights poster.

What Citibank employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Citigroup Inc logo

About Citigroup Inc

Sourced by ZipRecruiter

We live in an increasingly complex world. Companies these days are either born global or are going global at record speed. Business and geopolitics are forging an entirely new dynamic and consumers now expect financial services to be a seamless part of their digital lives. Citi is a bank that’s uniquely positioned for this moment. Through our vast global network and our on-the-ground expertise, we can connect the dots, anticipate change and empathize the needs of our clients and customers in ways that other banks simply cannot. Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have set expectations for how we must act to bring our mission to life. These expectations are at the heart of our Leadership Principles – we take ownership, we deliver with pride and we succeed together.

Industry

Banking and credit intermediation

Company size

5,001 - 10,000 Employees

Headquarters location

New York City, NY, US

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