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MLOps with Agentcore - Onsite, CTH

KeylentExton, PA🇺🇸United StatesPosted 7 Jul 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Python(3.11+) hands-on experience building robust applications and agentic logic.

Infrastructure as Code (IaC): Production-level expertise using Terraform to provision AWS services, including Bedrock Agents, Knowledge Bases,DynamoDB, Lambda etc.

CI/CD & DevOps: Proven track record in building and maintaining automated deployment pipelines for cloud-native applications.

AWS Security & Identity: Deep experience with IAM for fine-grained permissions and secure service communication.

AWS Bedrock AgentCore (2025): Familiarity with the latest ecosystem, specifically the Agent Runtime, Memory, Identity, and Tool Gateway layers.

Multi-Agent Orchestration: Experience building or enabling collaborative systems using frameworks like LangGraph, CrewAI, or AutoGen.

Model Context Protocol (MCP): Strong understanding of MCP and modern tool/API integration patterns for AI agents.

AWS Certification: Must hold at least one of the following: AWS Certified Solutions Architect – Associate, AWS Certified Developer – Associate, or AWS Certified AI Practitioner.

Willingness to learn emerging AI technologies, frameworks, and evolving cloud services

Skills

DynamoDB
AWS
Python
Terraform

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