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Retrieval Augmented Generation Rag Jobs in Boynton Beach, FL

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

Data Engineer

West Palm Beach, FL · On-site

$110K - $133K/yr

Build and maintain data stores and indexing infrastructure that support retrieval-augmented generation (RAG) and other AI consumption patterns. * Implement data quality, validation, and lineage ...

Data Engineer

West Palm Beach, FL · On-site

$90K - $150K/yr

Build and maintain data stores and indexing infrastructure that support retrieval-augmented generation (RAG) and other AI consumption patterns. * Implement data quality, validation, and lineage ...

Demonstrated ability to design and build AI-enabled workflows in legal or professional-services settings, including prompt engineering, retrieval-augmented generation (RAG) concepts, and evaluation ...

Senior Legal Counsel

Deerfield Beach, FL · On-site

$135K - $183K/yr

... retrieval augmented generation ("RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements ...

Senior Legal Counsel

Deerfield Beach, FL · On-site

$135K - $183K/yr

... retrieval augmented generation ("RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements ...

Experience working with unstructured data, retrieval-augmented generation (RAG), search platforms, or AI-powered data solutions. * TypeScript experience is a plus. What We're Looking For This role is ...

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

VP, Platform Engineering

Boca Raton, FL · On-site +1

$170K - $220K/yr

Oversee the development of Azure based AI applications, including retrieval augmented generation, document intelligence, conversational agents, and client solutions * Ensure responsible AI practices ...

VP, Platform Engineering

Boca Raton, FL · On-site

$170K - $220K/yr

Oversee the development of Azure based AI applications, including retrieval augmented generation, document intelligence, conversational agents, and client solutions * Ensure responsible AI practices ...

Senior Azure Architect

Palm Beach Gardens, FL · On-site

$60 - $78.25/hr

Define the architecture for KR's AI applications, including retrieval augmented generation pipelines, vector databases, and orchestration frameworks * Lead model selection based on business needs ...

Senior Azure Architect

Boca Raton, FL · On-site

$60.25 - $78.50/hr

Define the architecture for KR's AI applications, including retrieval augmented generation pipelines, vector databases, and orchestration frameworks * Lead model selection based on business needs ...

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Retrieval Augmented Generation Rag information

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How much do retrieval augmented generation rag jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for retrieval augmented generation rag in Boynton Beach, FL is $18.98, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $19.81 per hour, depending on experience, location, and employer.

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AI Architect Generative AI, LLMs & AWS

Compunnel

West Palm Beach, FL • On-site

$62.75 - $82.25/hr

Full-time

Posted 9 days ago


Job description

Job Summary
We are seeking a hands-on AI Architect to lead the design, development, enhancement, and deployment of an enterprise AI platform powered by Large Language Models (LLMs). The ideal candidate will combine strong software engineering skills with deep expertise in Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), and AWS cloud services to build scalable, secure, and production-ready AI applications. This role requires active involvement in solution architecture, software development, cloud deployment, performance optimization, and technical leadership.
Key Responsibilities
• Design, develop, and enhance an enterprise AI platform integrating multiple Large Language Models (LLMs).
• Architect and implement scalable AI solutions using Agentic AI frameworks and Retrieval-Augmented Generation (RAG) architectures.
• Build intelligent AI agents capable of reasoning, planning, tool execution, and workflow orchestration.
• Develop secure, scalable, and highly available cloud-native AI applications on AWS.
• Design and implement REST APIs and microservices to expose AI capabilities to enterprise applications.
• Integrate AI services with enterprise systems, databases, APIs, and third-party platforms.
• Deploy, monitor, and optimize AI workloads on AWS for performance, scalability, security, and cost efficiency.
• Work with product owners and engineering teams to translate business requirements into technical solutions.
• Drive architecture reviews, code quality, CI/CD automation, and engineering best practices.
• Evaluate emerging LLMs, AI frameworks, and cloud services to continuously improve the AI platform.
• Mentor developers and provide technical leadership across AI initiatives.
Required Qualifications
• Strong hands-on experience with foundation models such as OpenAI GPT, Anthropic Claude, Llama, Mistral, Amazon Nova, or similar models.
• Experience building enterprise-grade LLM applications.
• Strong expertise in Retrieval-Augmented Generation (RAG).
• Experience with prompt engineering, prompt optimization, embeddings, semantic search, and model evaluation.
• Experience integrating multiple LLM providers and implementing model orchestration.
• Hands-on experience with one or more Agentic AI frameworks, including LangChain, LangGraph, CrewAI, Microsoft Semantic Kernel, AutoGen, or Amazon Bedrock Agents.
• Experience developing multi-agent workflows, tool calling, function calling, memory management, and planning or reasoning agents.
• Strong hands-on experience with AWS services, including Amazon Bedrock, Amazon SageMaker, AWS Lambda, ECS/EKS, API Gateway, Step Functions, Amazon S3, DynamoDB, Amazon OpenSearch, Amazon Aurora, CloudWatch, IAM, VPC, EventBridge, and Secrets Manager.
• Strong proficiency in Python.
• Experience with FastAPI or Flask, REST APIs, microservices, Docker, Kubernetes, Git, and CI/CD pipelines.
• Experience with databases and search technologies such as PostgreSQL, DynamoDB, OpenSearch, Pinecone, Weaviate, Chroma, FAISS, or Milvus.
• Experience designing and deploying scalable, secure, and production-ready AI applications.
• Strong software engineering and solution architecture capabilities.
Preferred Qualifications
• Experience with Infrastructure as Code tools such as Terraform, AWS CDK, or CloudFormation.
• Experience building AI products from concept through production.
• Strong understanding of LLMOps, MLOps, observability, and AI monitoring.
• Experience implementing AI guardrails, responsible AI practices, and enterprise security controls.
• Familiarity with event-driven and serverless architectures.
• Knowledge of authentication, authorization, and API security.

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About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

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