> Markdown version of [/jobs/ext/3665801-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3665801-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Insight Global - **Location:** Reading, PA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Artificial Intelligence, Amazon Web Services, Data Cleansing, Python (Programming Language), Machine Learning, Cloud Services, Multi-Agent Systems, AgentCore, Agentic-AI, CrewAI, AutoGen, Machine Learning Operations, Virtual Agents, Dataiku, Model Context Protocol - **Published:** October 10, 2026 - **Apply:** https://dejobs.org/x/x/FCD56D7CBFC344D9881005F2740A4C1A/job/ ## About the Role * 5+ years of experience as an Engineer * Ability to build an AI Model, test, and operationalize them * Python(3.11+) hands-on experience building robust applications and agentic logic * Hands-on experience with Amazon SageMaker for building, training, and deploying machine learning models * Proficiency in data preparation and analytics using Dataiku * Solid understanding of core Machine Learning concepts and model lifecycle management * 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 agent * AWS Certification (AWS Certified Solutions Architect/Associate, Certified Developer/Associate, or AWS Certified AI Practitioner) Willingness to learn emerging AI technologies, frameworks, and evolving cloud services ## Description Insight Global is seeking an AI Engineer for an Enterprise client focused on building and operationalizing custom AI and machine learning models for an advanced agentic platform. This role is 100% dedicated to AI model design, testing, and deployment. The engineer will work hands-on creating new models, supporting existing custom models, and collaborating closely with data scientists to bring AI solutions into production using Amazon SageMaker and Dataiku. This is an excellent opportunity for a true AI/ML engineer who wants to work on modern agent systems, custom MCP development, and next-generation AI technologies.