AI Engineer - Reading PA, Onsite. Must attend F2F. Must have experience in Python(3.11+), Amazon SageMaker, AWS Bedrock AgentCore (2025), frameworks like LangGraph, CrewAI, or AutoGen, Model Context Protocol (MCP), and Must hold at least one of the AWS certifications.

Reading, PA, US • Posted 1 day ago • Updated 1 day ago

Full Time

On-site

Depends on Experience

Keylent

Fitment

Dice Job Match Score™

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Job Details

Skills

API
Amazon SageMaker
Amazon Web Services
Analytics
Artificial Intelligence
Autogen
Cloud Computing
Lifecycle Management
Machine Learning (ML)
Microsoft Certified Professional
Orchestration
Python
Training

Summary

Job Title: AI Engineer - Reading PA

Skill sets:
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 agents.
AWS Certification: Must hold at least one of the following

AWS Certified Solutions Architect Associate

AWS Certified Developer Associate

AWS Certified AI Practitioner.
Willingness to learn emerging AI technologies, frameworks, and evolving cloud services

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10423210A
Position Id: 8904428
Posted 1 day ago

Company Info

About Keylent

We established Keylent to provide the Key Talent that our clients seek. We are all about People. About Passion. Professional and Process driven.

We have been involved with the industry for over 2 decades and have seen the up's and down's. We have weathered bad times and enjoyed good times by putting our client needs ahead of ours. We continue to do the same thing.

We take great care of our Talent Acquisition and Administrative staff who in turn put in their best work to fulfill our Consultant and Client needs.

Our Clients and our Consultants have a variety of choices and we are thankful that they have chosen Keylent.

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Python(3.11+)hands-on experience building robust applications and agentic logic. Hands-on experience withAmazon SageMakerfor building, training, and deploying machine learning models. Proficiency in data preparation and analytics usingDataiku. 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:E

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