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Overnight Retrieval Augmented Generation Jobs in Florida

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

AI Engineer

Fort Myers, FL · On-site

$110 - $160/hr

Retrieval-Augmented Generation (RAG), vector databases, and embedding models * LLM orchestration frameworks (LangChain, LangGraph, or equivalent) * Fine-tuning experience, specifically LoRA (PEFT and ...

Gen AI Architect

Fort Lauderdale, FL · On-site

$180 - $200/hr

Architect enterprise-scale Generative AI solutions leveraging LLMs, embeddings, and retrieval-augmented generation (RAG) pipelines. * Design and implement scalable AI microservices and APIs ...

New

Data Engineer

Tampa, FL

$108K - $129K/yr

This role focuses heavily on building reliable RAG (Retrieval-Augmented Generation) pipelines, orchestrating ETL/ELT processes, and deploying scalable data systems in AWS. Responsibilities * Design ...

Enable engineering teams with best practices in prompt engineering, Retrieval-Augmented Generation, security, reliability, and scalable AI development. * Integrate AI solutions with APIs ...

Python Developer

Tampa, FL · On-site

$47.50 - $65.50/hr

... • Retrieval-Augmented Generation (RAG) • Model fine-tuning Company : Echo IT Solutions provides IT consulting, managed services, cloud, cybersecurity, data, and custom software development.

Showing results 21-40

Overnight Retrieval Augmented Generation information

What is the difference between Overnight Retrieval Augmented Generation vs Data Scientist?

AspectOvernight Retrieval Augmented GenerationData Scientist
CredentialsTypically requires knowledge of AI, NLP, and data retrieval techniquesRequires degrees in data science, statistics, or related fields
Work EnvironmentOften in AI research labs, tech companies, or startups focusing on NLP modelsIn corporate, research, or consulting settings analyzing data and building models
Industry UsagePrimarily in AI, machine learning, and NLP industriesAcross finance, healthcare, tech, and other sectors

Overnight Retrieval Augmented Generation focuses on developing AI models that combine retrieval techniques with generative AI, often working overnight to update or improve models. Data Scientists analyze data, build predictive models, and interpret results across various industries. While both roles involve data and AI, Retrieval Augmented Generation specialists focus on model training and NLP innovations, whereas Data Scientists handle broader data analysis and modeling tasks.

What are the most commonly searched types of Retrieval Augmented Generation jobs in Florida?

The most popular types of Retrieval Augmented Generation jobs in Florida are:

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For Overnight Retrieval Augmented Generation jobs in Florida, the most frequently searched job titles are:

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The top searched job categories for Overnight Retrieval Augmented Generation jobs in Florida are:

What cities in Florida are hiring for Overnight Retrieval Augmented Generation jobs?

Cities in Florida with the most Overnight Retrieval Augmented Generation job openings:

Infographic showing various Overnight Retrieval Augmented Generation job openings in Florida as of July 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution.

Principal Full Stack Engineer, Apps Development

Raymondjames

Saint Petersburg, FL • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago


Job description

Job Description Summary

We are seeking an experienced Principal Full Stack Application Developer to lead the architecture, design, and development of enterprise applications and next-generation Agentic AI solutions that automate business processes across the firm.
This individual serves as the technical leader responsible for defining and implementing the architecture for AI-powered workflows, intelligent agents, and enterprise integrations while remaining a hands-on full stack engineer. The role combines expertise in Angular, Java, Spring Boot, enterprise integration, and modern AI technologies to build scalable, secure, and maintainable automation solutions that improve operational efficiency and business outcomes.
The ideal candidate possesses extensive experience designing enterprise software architectures and is comfortable evaluating, integrating, and applying a rapidly evolving AI ecosystem-including LLMs, agent frameworks, MCP, vector databases, prompt engineering, and AI-assisted development tools-to solve complex business problems.

Job Description

This position follows a hybrid work model, with an expectation to be in the office 3 days per week at the St. Petersburg, FL Corporate Office location.

Please note: This role is not eligible for Work Visa sponsorship, either currently or in the future.

Responsibilities

  • Lead the architecture, design, and implementation of enterprise Agentic AI solutions that automate complex business processes across the organization.

  • Define technical standards and architectural patterns for intelligent agents, multi-agent systems, orchestration workflows, and AI-enabled enterprise applications.

  • Design and develop agentic workflows that combine deterministic business rules, enterprise integrations, retrieval systems, and AI reasoning to deliver reliable and scalable business automation.

  • Evaluate, prototype, and integrate emerging AI technologies, frameworks, and tools to continuously improve engineering productivity and business capabilities.

  • Drive the firm's adoption of AI engineering best practices, including prompt engineering, model evaluation, retrieval-augmented generation (RAG), Model Context Protocol (MCP), vector search, tool calling, and AI governance.

  • Lead full stack development efforts using Angular, Java, Spring Boot, REST APIs, and enterprise integration patterns.

  • Design reusable frameworks and platform capabilities that enable development teams to rapidly build and deploy intelligent agents.

  • Collaborate with Architecture, Security, Infrastructure, Product Owners, and business stakeholders to identify automation opportunities and define scalable technical solutions.

  • Mentor engineers in modern AI engineering techniques, full stack development, and enterprise software architecture.

  • Lead technical design sessions, perform architecture reviews, conduct code reviews, and establish engineering standards.

  • Apply AI-assisted software development tools to accelerate development, testing, debugging, documentation, and delivery while maintaining high engineering quality.

  • Participate in production support, troubleshooting, performance tuning, and continuous platform improvement.

Required Skills & Experience

  • 10+ years of experience designing, developing, and supporting enterprise software applications.

  • 5+ years of technical leadership experience leading development teams and enterprise software initiatives.

  • Expert knowledge of Java (17+), Spring Boot, Spring Framework, Angular (16+), RESTful APIs, and microservices.

  • Strong understanding of object-oriented programming, software architecture, design patterns, and secure coding practices.

  • Experience designing scalable enterprise applications and distributed systems.

  • Experience with SQL, enterprise integration patterns, messaging platforms (IBM MQ, Kafka, or similar), and API-driven architectures.

  • Experience with CI/CD pipelines, Git, automated testing, and DevOps practices.

  • Demonstrated ability to evaluate new technologies and recommend technical solutions that align with business objectives.

  • Strong leadership, mentoring, communication, and problem-solving skills.

Preferred Qualifications

  • Experience designing or developing Agentic AI solutions or intelligent business automation workflows.

  • Experience integrating Large Language Models (LLMs) into enterprise applications.

  • Familiarity with AI engineering concepts including Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), prompt engineering, vector databases, semantic search, and AI orchestration frameworks.

  • Experience evaluating and integrating commercial AI platforms and development tools such as Claude Code, GitHub Copilot, ChatGPT, Gemini, or similar technologies.

  • Experience applying AI-assisted development techniques to improve engineering productivity, code quality, testing, documentation, and software delivery.

Education

Bachelor's: Computer and Information Science (Required)

Work Experience

General Experience - 10 to 15 years

Certifications

Travel

Less than 25%

Workstyle

Hybrid

The total compensation for this position includes base salary or wages, and may include components such as additional compensation (cash or equity), discretionary bonuses, or commissions. This position is eligible for a benefits package that may include medical, dental, and vision; life insurance; critical illness insurance and accident insurance; disability benefits; retirement savings; paid time off (including vacation, holidays, and sick leave); and parental leave. Eligibility for benefits and specific offerings may vary based on position and employment status. To view more details of the benefits offered, visit Myrjbenefits.com.

At Raymond James our associates use five guiding behaviors (Develop, Collaborate, Decide, Deliver, Improve) to deliver on the firm's core values of client-first, integrity, independence and a conservative, long-term view.
We expect our associates at all levels to:
Grow professionally and inspire others to do the same
Work with and through others to achieve desired outcomes
Make prompt, pragmatic choices and act with the client in mind
Take ownership and hold themselves and others accountable for delivering results that matter
Contribute to the continuous evolution of the firm

At Raymond James - as part of our people-first culture, we honor, value, and respect the uniqueness, experiences, and backgrounds of all of our Associates. When associates bring their best authentic selves, our organization, clients, and communities thrive. The Company is an equal opportunity employer and makes all employment decisions on the basis of merit and business needs.

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