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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 ...

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 ...

Implement Retrieval-Augmented Generation (RAG) and semantic search pipelines that integrate large language models with enterprise data sources. * Apply prompt engineering, embedding techniques, and ...

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 ...

Data Engineer

Coral Springs, FL · On-site

$109K - $130K/yr

RAG (Retrieval-Augmented Generation) * ETL (Extract, Transform, Load) * Data Warehousing * Machine Learning/AI Concepts The pay range is the lowest to highest compensation we reasonably in good faith ...

Retrieval Augmented Generation Rag information

See Boynton Beach, FL salary details

$14

$18

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

As of Aug 12, 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 - Gen AI, LLms & AWS

Atinfo Technology Inc

West Palm Beach, FL • On-site

$62.75 - $82.25/hr

Other

Posted yesterday

New


Job description

ONSITE ROLE FROM DAY ONE. NO SPONSORSHIP AVAILABLE. ONLY FOR PERMANENT RESIDENTS.

Role Summary

We are looking for 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, and AWS cloud services to build scalable, secure, and production-ready AI applications.

This role requires active involvement in solution architecture, coding, cloud deployment, performance optimization, and mentoring engineering teams.

Key Responsibilities

  • Design, develop, and enhance an enterprise AI platform integrating multiple Large Language Models (LLMs).
  • Architect and implement scalable AI solutions using modern 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 ensuring performance, scalability, security, and cost efficiency.
  • Work closely 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 Technical Skills

Generative AI

  • Strong hands-on experience with OpenAI GPT, Anthropic Claude, Llama, Mistral, Amazon Nova, or similar foundation models.
  • Experience building enterprise-grade LLM applications.
  • Expertise in Retrieval-Augmented Generation (RAG).
  • Prompt engineering, prompt optimization, embeddings, semantic search, and model evaluation.
  • Experience integrating multiple LLM providers and managing model orchestration.

Agentic AI

Hands-on experience with one or more of:

  • LangChain
  • LangGraph
  • CrewAI
  • Microsoft Semantic Kernel
  • AutoGen
  • Amazon Bedrock Agents

Experience developing:

  • Multi-agent workflows
  • Tool calling
  • Function calling
  • Memory management
  • Planning and reasoning agents

AWS Cloud

Strong hands-on experience with:

  • Amazon Bedrock
  • Amazon SageMaker
  • AWS Lambda
  • ECS/EKS
  • API Gateway
  • Step Functions
  • Amazon S3
  • DynamoDB
  • Amazon OpenSearch
  • Amazon Aurora
  • CloudWatch
  • IAM
  • VPC
  • EventBridge
  • Secrets Manager

Experience with Infrastructure as Code (Terraform, AWS CDK, or CloudFormation) is highly desirable.

Programming

  • Python (mandatory)
  • FastAPI / Flask
  • REST APIs
  • Microservices
  • Docker
  • Kubernetes
  • Git
  • CI/CD pipelines

Databases & Search

Experience with:

  • PostgreSQL
  • DynamoDB
  • OpenSearch
  • Pinecone
  • Weaviate
  • Chroma
  • FAISS
  • Milvus

Preferred Qualifications

  • Experience building AI products from concept to production.
  • Strong understanding of LLMOps, MLOps, observability, and AI monitoring.
  • Experience implementing AI guardrails, responsible AI, and enterprise security controls.
  • Familiarity with event-driven and serverless architectures.
  • Knowledge of authentication, authorization, and API security.