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I will build a production AWS bedrock rag ai agent
Jeremiah W
About this gig
I will build and deploy a production-ready AI agent or RAG application using AWS Bedrock.
This is designed for businesses that need more than a basic chatbot or proof of concept.
Depending on your requirements, your solution can include:
- Amazon Bedrock agents
- Bedrock Knowledge Bases
- Retrieval-Augmented Generation (RAG)
- OpenSearch Serverless
- Document ingestion
- Source citations
- Agent memory
- Lambda APIs
- Terraform infrastructure
- GitHub Actions CI/CD
- Automated AI evaluations
- Hallucination and anomaly monitoring
- Production logging and observability
I have built complete Bedrock architectures that provision the infrastructure, ingest document corpora, expose an agent through an API, evaluate every deployment, and monitor AI quality in production.
I can work with an existing AWS environment or build the architecture from the ground up.
Please contact me before ordering so we can define the data sources, security requirements, architecture, and deployment scope.
Get to know Jeremiah W
Jeremiah W
Solutions Architect
- FromUnited States
- Member sinceDec 2014
- Avg. response time1 hour
Languages
English
I build production AI systems that go beyond basic chatbots and demos.
My work spans AI agents, RAG, automated evaluation, LLM observability, multi-cloud infrastructure, autonomous content systems, AI video pipelines, and data platforms.
I’ve built AI solutions across AWS Bedrock, Azure AI Foundry, Google Cloud Vertex AI, Microsoft Fabric, Databricks, Snowflake, Anthropic, and custom full-stack applications.
My focus is turning AI concepts into working systems that can be deployed, evaluated, monitored, and improved in production.
My Portfolio
Other AI Development Services I Offer
FAQ
What types of AWS Bedrock AI solutions can you build?
I can build RAG applications, document Q&A systems, AI agents, internal copilots, API-based AI services, and custom Bedrock workflows.
Can you use my company documents or data for RAG?
Yes. I can connect documents and supported data sources to a Bedrock Knowledge Base so your AI can answer questions using your own information.
Can you deploy the infrastructure to my AWS account?
Yes. Deployment can be included, and larger projects can include Infrastructure as Code using Terraform and automated deployment with GitHub Actions.
Can you add evaluation and monitoring to the AI agent?
Yes. I can implement automated evaluations for areas such as answer relevance, faithfulness, citations, latency, hallucinations, and regression between releases.
Can you work with an existing AWS or Bedrock project?
Yes. I can review an existing architecture, troubleshoot problems, add RAG or agent capabilities, improve deployment workflows, or productionize an existing prototype.
Are AWS and AI model usage costs included?
No. AWS infrastructure, Bedrock model usage, storage, and other third-party service charges are paid directly through your own accounts.
Will you need my AWS password or credentials?
No. Please never send passwords or permanent access keys. We can use appropriate AWS IAM permissions or other secure access methods when deployment access is required.
