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AI Engineer

Insight Global

Reading, PAJobSeen 1 day agoSeen in employer's feed 1 day ago

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At a glance

Compensation
No compensation found
Location
Reading, PA
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

AWS Certification Or Equivalent

Job overview

Insight Global is seeking an AI Engineer for an enterprise client building and operationalizing custom AI and machine learning models for an agentic platform. The role focuses on model design, testing, and deployment, including creating and supporting custom models and collaborating with data scientists to bring AI solutions into production using Amazon SageMaker and Dataiku. The work also involves agent systems, custom MCP development, and emerging AI technologies.

Skills & qualifications

RequiredNice to have

Skills

AI Model DevelopmentPythonRobust Application DevelopmentAgentic LogicAmazon SageMakerMachine Learning Model DeploymentData PreparationDataikuMachine LearningModel Lifecycle ManagementAWS Bedrock AgentCoreAgent RuntimeMemoryIdentityTool GatewayMulti-Agent OrchestrationLangGraphCrewAIAutoGenModel Context ProtocolTool/API IntegrationEmerging AI TechnologiesAI FrameworksEvolving Cloud Services

Qualifications

5+ Years Engineering ExperienceAWS Certification or Equivalent

Full job description

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.

Skills and 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

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].

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