AI Engineer

Insight Global
Reading, PA, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

LangGraph Framework Artificial Intelligence Amazon Web Services Data Cleansing Python (Programming Language) Machine Learning Cloud Services Multi-Agent Systems AgentCore Agentic-AI CrewAI AutoGen
+4 more
Machine Learning Operations Virtual Agents Dataiku Model Context Protocol

Job 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.

Requirements

  • 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

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