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Retrieval Augmented Generation Rag Jobs in Florida

Develop generative AI solutions using LLMs, orchestration frameworks, and retrieval-augmented generation (RAG) architectures. * Build production-grade AI systems integrating machine learning models ...

Develop generative AI solutions using LLMs, orchestration frameworks, and retrieval-augmented generation (RAG) architectures. * Build production-grade AI systems integrating machine learning models ...

Develop generative AI solutions using LLMs, orchestration frameworks, and retrieval-augmented generation (RAG) architectures. * Build production-grade AI systems integrating machine learning models ...

Implement RAG (Retrieval-Augmented Generation) applications to enhance AI systems with dynamic information retrieval. * Build and integrate AI agentic frameworks for autonomous decision-making and ...

Implement RAG (Retrieval-Augmented Generation) applications to enhance AI systems with dynamic information retrieval. * Build and integrate AI agentic frameworks for autonomous decision-making and ...

Develop RAG (Retrieval-Augmented Generation) pipelines and implement MCPs (Model Context Protocol / modular AI pipelines) * Ensure performance, scalability, security, and high availability of ...

Python Developer (AI/LLM Specialist)

Tampa, FL · On-site

$45.75 - $63/hr

Apply advanced prompt engineering, RAG (retrieval-augmented generation), chain-of-thought orchestration, tool use, and function calling to optimize AI system performance. * Architect scalable ...

Develop and optimize Retrieval-Augmented Generation (RAG) systems, including embeddings, vector search, retrieval pipelines, chunking strategies, and relevance tuning. * Build multimodal AI workflows ...

... retrieval-augmented generation (RAG), and tool / function-calling that automate real business processes. • Develop and maintain MCP servers and reusable AI skills and agents that give teams safe ...

... retrieval-augmented generation (RAG), and tool / function-calling that automate real business processes. • Develop and maintain MCP servers and reusable AI skills and agents that give teams safe ...

Understanding of AI agent concepts including LLMs, retrieval-augmented generation (RAG), prompt engineering best practices, and agent orchestration frameworks. * Experience with cloud platforms ...

Establish standards for building LLM applications, retrieval-augmented generation (RAG) systems, intelligent agents and ML models at scale * Create reference architectures for AI-powered solutions ...

Understanding of AI agent concepts including LLMs, retrieval-augmented generation (RAG), prompt engineering best practices, and agent orchestration frameworks. * Experience with cloud platforms ...

... retrieval-augmented generation (RAG), or embedding pipelines • Exposure to managing and monitoring ML workloads that support generative AI or advanced analytics use cases • Proficiency with ...

AI Architect

Tampa, FL

$59.50 - $78.50/hr

... retrieval-augmented generation (RAG) systems, intelligent agents and ML models at scale Create reference architectures for AI-powered solutions including real-time workflows, automation, copilots and ...

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AI Architect

AI Architect

Technologent

Sunrise, FL

Contractor

Posted 8 days ago


Job description

The Opportunity: We are seeking an AI Architect to join the enterprise platform engineering team supporting a large-scale internal developer ecosystem for a customer. This role focuses on building intelligent, agent-driven capabilities across developer platforms that improve engineering productivity, software delivery, and enterprise API usage.
The ideal candidate works on next-generation platform capabilities used across engineering teams of the customer, building AI-native features that enhance how developers design, build, and deploy software at scale.
  • Role: AI Architect (Enterprise Platforms)
  • Experience: 10+ Years
  • Work Location: Sunrise, FL
  • Project Duration: 12+ Months Contract
Key Responsibilities
  • Design and build AI-powered applications and agent-based systems within enterprise developer platforms for the Customer.
  • Develop generative AI solutions using LLMs, orchestration frameworks, and retrieval-augmented generation (RAG) architectures.
  • Build production-grade AI systems integrating machine learning models, APIs, and backend services into scalable applications.
  • Create AI-driven developer productivity tools such as coding assistants, workflow automation, and intelligent recommendations.
  • Ensure AI systems meet enterprise standards for reliability, scalability, observability, and compliance requirements of the Customer.
  • Implement agentic workflows using frameworks such as LangGraph and MCP-style integrations.
  • Design and optimize RAG pipelines for enterprise knowledge retrieval and contextual intelligence.
  • Integrate AI features into internal developer platforms, APIs, and tooling ecosystems of the Customer.
  • Build CI/CD pipelines for AI model deployment, versioning, and lifecycle management.
  • Deploy containerized AI services using modern cloud-native engineering practices.
  • Improve model performance through prompt engineering, evaluation frameworks, and iterative tuning.
  • Collaborate with cross-functional engineering teams within the Customer organization to deliver AI capabilities.
  • Document system architecture, AI workflows, and integration patterns for enterprise adoption.
Required Qualifications
  • 7+ years of Software Architect experience with strong expertise in JavaScript/TypeScript and React.
  • Hands-on experience building and deploying generative AI or LLM-based production systems.
  • Strong understanding of prompt engineering and LLM orchestration techniques.
  • Experience with agentic AI frameworks such as LangGraph or similar workflow-based systems.
  • Practical knowledge of RAG architectures and vector-based search systems.
  • Experience integrating APIs and building end-to-end AI-enabled applications.
  • Strong experience with CI/CD pipelines and DevOps practices.
  • Hands-on experience with containerization (e.g., Docker) and cloud-native deployments.
  • Strong system design and scalable software architecture skills.
  • Ability to troubleshoot distributed systems and optimize AI pipeline performance.
  • Strong collaboration and communication skills across engineering and platform teams.
Preferred Qualifications
  • Experience building AI copilots or internal developer productivity tools.
  • Familiarity with enterprise API platforms and developer ecosystems.
  • Exposure to AI observability, monitoring, and evaluation frameworks.
  • Understanding of distributed systems and cloud architecture.
  • Experience in large-scale enterprise engineering environments.
  • Knowledge of responsible AI practices and secure AI deployment.
  • Familiarity with embeddings, vector databases, and semantic search systems.
What We Are Looking For
  • Strong Software Architect passionate about building AI-driven systems.
  • Experience delivering production-grade generative AI solutions at scale.
  • Ability to balance innovation with enterprise-grade reliability requirements.
  • Strong analytical and problem-solving skills in complex systems.
  • Collaborative mindset working across platform and engineering teams.
  • Focus on improving developer productivity through AI automation and agents.
  • Commitment to continuous learning and responsible use of emerging AI technologies.

Technologent is an Equal Opportunity Employer -- EEO/AA Employer/Vet/Disabled -- for reasonable accommodations, please contact us at hr@technologent.com
Technologent is a Global Provider of Edge-to-Edge℠ Information Technology Solutions and Services for Fortune 1000 and SMB companies. We offer a unique blend of business practices that are aligned to solve for top CIO concerns. Our core competencies focus on data center infrastructure, business continuity, data protection, service automation and orchestration, continuous intelligence, monitoring, connectivity, collaboration and cybersecurity. These practices are supported by our professional services, digital transformation services and financial services offerings. By providing custom solutions and services designed to fit your business needs, we enable your organization to be more agile, responsive and competitive. Technologent empowers your company to ascend to the next level in IT.
Headquartered in Irvine, CA, Technologent has offices throughout the US and proudly serves clients around the world. When partnering with Technologent, organizations benefit from the highest caliber of professionals, committed to delivering exceptional business outcomes backed by unmatched service and support.