Extend Amazon Bedrock Agent Core

@Maxxionn

Hi , I’ve carefully reviewed your job post and it’s clear you’re looking for someone with solid experience in Model Context Protocol (MCP), AI Agents, AI Model Development and AI Development. This is exactly within my core expertise, and I’m confident I can deliver reliable, high-quality results. Rather than rushing into assumptions, I prefer to understand the project properly. I’d appreciate your clarification on a few points: Is the job description complete, or are there additional requirements or expectations? Do you already have any work completed, or will this be built entirely from scratch? Do you have a preferred timeline or deadline in mind? Why you can confidently work with me: Successfully completed 250+ major projects across different industries Maintained 100% positive feedback over the last 5–6 years Earned 100+ recent 5-star reviews, showing long-term client satisfaction I focus on clear communication, clean execution, and on-time delivery I work as a full-time freelancer and am available 9 AM – 9 PM (Eastern Time), ensuring fast responses and consistent progress. Due to client confidentiality, I share relevant work samples only in private chat. Let’s start a conversation so I can show you similar work and suggest the best approach for your project. Looking forward to working with you. Best regards, Arsalan Khan

@GenoraLabs

Hello, I see that you are looking to extend the functionality of your agent running on Amazon Bedrock. To achieve this, I would like to understand more about your current setup and the specific requirements for each of the new functionalities you mentioned. It's important to ensure a smooth integration of these features while optimizing performance and maintaining security. In handling this project, I plan to thoroughly analyze your existing agent core and develop a strategic approach to implement the new functionalities seamlessly. By focusing on each point individually, we can ensure that the extended agent core meets your expectations in terms of observability, caching, token tracking, skills utilization, IAM user/roles management, agent runtime utilization, and overall performance. The core deliverables for this project will include: - Implementation of Bedrock observability - Integration of bedrock caching - Configuration for token tracking push to Datadog - Utilization of skills, IAM user/roles with tags, agent runtime, and bedrock agents I'll share my portfolio with you in the DM. Kindly ping me there. My experience with similar projects ensures a high-quality outcome. I'd be happy to discuss your project further and answer any questions. Best regards, Malaika

@johnedwardl

Hi, I will enhance your Amazon Bedrock agent by integrating advanced features to maximize its capabilities. With extensive experience in AWS and Bedrock, I’ll implement observability for better insights, caching for improved performance, and token tracking to push metrics to Datadog. I’ll leverage Skills to enhance functionality and ensure IAM users and roles are effectively tagged for streamlined management. My approach will involve a thorough analysis of your current setup to identify integration points with minimal disruption. I prioritize clean architecture and maintainability to ensure long-term success. To align this with your vision, are there specific metrics you want to track with Datadog? Additionally, do you have existing IAM policies that need to be incorporated? I’m ready to get started immediately and look forward to delivering a robust solution that meets your needs. Thank you.

@thomasw273

Hi there, I just read your posting. It sounds like you need an expert in Amazon Bedrock to enhance your agent's functionality by integrating observability, caching, token tracking, and more. I am a software engineer with 10+ years experience in cloud infrastructure and backend development. Extending the capabilities of Amazon Bedrock and optimizing agent systems for scalability, observability, and security is what I specialize in. I can work with you to integrate Bedrock’s observability and caching features, push token tracking data to Datadog, implement skills and use IAM roles with tags for enhanced security, and optimize the agent runtime and overall agent experience. I’ll ensure the system is efficient, scalable, and fully aligned with your performance goals. Let me know if my profile looks interesting, and we can set up a time to talk. Best regards, Thomas W.

@danas79

⭐⭐⭐⭐⭐ I can extend your Amazon Bedrock agent with production-grade capabilities by integrating Bedrock observability (structured logs, traces, and metrics via CloudWatch/X-Ray) and implementing response caching (prompt/result-level with TTL and cache keys) to reduce latency and cost. I have hands-on experience building Bedrock-based agents using Agent Runtime and Bedrock Agents, including creating reusable Skills (Lambda-backed tools) and orchestrating them through agent plans. I will add token usage tracking (input/output tokens per call) and push custom metrics to Datadog using its API/agent for real-time monitoring and cost visibility. Security will be enforced through well-scoped IAM roles/users with tag-based access control and least-privilege policies. The solution will include clean, modular code (Python with boto3), infrastructure definitions, and deployment steps, with a clear rollout plan: observability + IAM (1–2 days), caching + token tracking (1–2 days), Skills + Agent Runtime enhancements (2–3 days), and final validation with documentation (1 day).

@atesicfl

As an experienced full stack web developer with a deep understanding of AI and data processing, I'm uniquely qualified to take your Amazon Bedrock agent core to the next level. Leveraging Bedrock observability and caching, integrating data tracking with Datadog, and optimizing performance using AI are all well within my wheelhouse. For years, I've worked on complex projects like yours, delivering satisfying results by leveraging technologies like Python, TensorFlow, and PyTorch. Furthermore, my familiarity with AWS Cloud and expertise in implementing IAM user/roles with tags bents perfectly with the goals you've outlined. My proven problem-solving capabilities and agile approach will allow me to quickly comprehend and enhance your existing agent core without causing friction or downtime. Lastly, my extensive experience with various databases including MongoDB and PostgreSQL means that I will be able to work effectively with the bedrock database setup. I believe that my passion for perfection paired with my impressive technology-stack competency makes

@maria20261

Hello, I’ve extended Bedrock-based agents by wiring observability, token usage tracking (via CloudWatch + Datadog exporters), and implementing caching/Agent Runtime flows while managing IAM roles with proper tagging for scoped access. I can integrate Skills, refine agent orchestration, and ensure historical test metrics (not just latest) are captured and pushed reliably for accurate monitoring. I want to discuss with you in more detail. Kind regards, Maria

@chriswheelerai

Deployed 268-agent SaaS on AWS Lambda — Bedrock observability, token tracking to Datadog, and regression-based RCA pipelines are exactly my stack. For the K6+SpeedCurve baseline regression: store baseline snapshots in DynamoDB, run a comparison Lambda on each test cycle, gate RCA trigger on delta threshold, then map against git diff range for the deploy window. Jira ticket creation and IAM tag-scoped roles are straightforward from there. One question: is your current Bedrock agent using Action Groups or Knowledge Bases for tool dispatch? I can start today.