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AI Engineer- Reading, PA | Onsite | In-Person Client Interview

Keylent

Reading, Pennsylvania • 4d ago

Easy Apply

Third Party, Contract

Depends on Experience

MLOps Engineer // REMOTE / Work-Life Balance

Motion Recruitment Partners, LLC

Remote • Today

Easy Apply

Contract

$60 - $70

Associate Director, MLOps Engineering

PathAI

Remote or Boston, New York • Today

Full-time

USD 181,500.00 - 278,300.00 per year

Planning Engineer - Reading, PA

FirstEnergy

Reading, Pennsylvania • Today

Full-time

MLOps Engineer:: Reading, Pennsylvania, Work from Client location, 5 days a week

Sage IT Inc

Reading, Pennsylvania • 4d ago

Easy Apply

Third Party, Contract

Keylent

Job Details

Skills

AI
Python 3.11+.
Agentic AI systems
Amazon SageMaker
Dataiku
AWS Bedrock AgentCore
Large Language Models (LLMs)
Model Context Protocol (MCP

Summary

Reading, PA | Onsite | In-Person Client Interview

Job Description: AI Engineer

Position Summary

We are seeking a highly motivated AI Engineer to design, develop, and deploy next-generation AI and machine learning solutions across the enterprise. The ideal candidate will have hands-on experience building intelligent applications, agentic AI systems, and scalable machine learning pipelines utilizing AWS cloud services and modern AI frameworks. This role requires a strong foundation in software engineering, machine learning, multi-agent architectures, and cloud-native AI services, along with a passion for staying current with rapidly evolving AI technologies.

Key Responsibilities

Design, develop, and deploy AI-powered applications and agentic workflows using Python (3.11+) and modern software engineering best practices.
Build, train, evaluate, and operationalize machine learning models using Amazon SageMaker.
Develop and maintain end-to-end ML workflows, including feature engineering, model training, deployment, monitoring, and lifecycle management.
Utilize Dataiku for data preparation, analytics, feature engineering, and model development activities.
Architect and implement agentic AI solutions leveraging AWS Bedrock AgentCore, including:

Agent Runtime
Memory Layer
Identity Layer
Tool Gateway Integration

Design and implement multi-agent systems using frameworks such as LangGraph, CrewAI, AutoGen, or similar orchestration platforms.
Integrate external tools, APIs, and enterprise systems using Model Context Protocol (MCP) and modern agent integration patterns.
Collaborate with business stakeholders, data scientists, architects, and engineering teams to translate business requirements into scalable AI solutions.
Optimize AI applications for performance, reliability, security, and cost efficiency in AWS environments.
Develop reusable components, libraries, and deployment frameworks that accelerate enterprise AI adoption.
Monitor production AI systems, troubleshoot issues, and implement continuous improvements.
Evaluate emerging AI technologies, frameworks, and cloud services to recommend innovative solutions and best practices.

Required Qualifications

Education

Bachelor’s degree in Computer Science, Data Science, Engineering, Information Technology, or related field.
Master's degree preferred.

Technical Skills

Strong hands-on experience developing production-grade applications using Python 3.11+.
Experience designing and implementing agentic AI systems and intelligent automation workflows.
Hands-on experience with Amazon SageMaker for machine learning model development, training, deployment, and monitoring.
Proficiency in Dataiku for data preparation, analytics, and machine learning workflows.
Strong understanding of:

Machine Learning algorithms
Model evaluation techniques
Feature engineering
MLOps practices
Model lifecycle management

Experience working with AWS Bedrock AgentCore, including Agent Runtime, Memory, Identity, and Tool Gateway capabilities.
Knowledge of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and agent-based architectures.
Experience with multi-agent orchestration frameworks such as:

LangGraph
CrewAI
AutoGen
Equivalent agent orchestration platforms

Strong understanding of Model Context Protocol (MCP) and agent tool integration patterns.
Experience integrating enterprise APIs, databases, and third-party services into AI workflows.
Familiarity with AWS cloud architecture, serverless services, and scalable application design.

Certifications

Candidates possessing any of the below certifications is a plus:

AWS Certified Solutions Architect – Associate
AWS Certified Developer – Associate
AWS Certified AI Practitioner

Preferred Qualifications

Experience with Generative AI, RAG architectures, vector databases, and knowledge retrieval systems.
Knowledge of AWS Bedrock foundation models and enterprise AI deployment patterns.
Familiarity with framework ecosystems such as LangChain, LlamaIndex, and OpenAI-compatible tooling.
Experience implementing AI governance, security, observability, and responsible AI practices.
Exposure to DevOps/MLOps tools including CI/CD pipelines, GitHub Actions, Terraform, Docker, and Kubernetes.
Experience working in large-scale enterprise environments.

Soft Skills

Strong analytical and problem-solving abilities.
Excellent verbal and written communication skills.
Ability to work independently and collaboratively within cross-functional teams.
Curiosity and willingness to continuously learn emerging AI technologies, frameworks, and evolving cloud services.
Strong stakeholder management and business partnering skills.

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: 9101950
Posted 4 days 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.

Careers

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Contact the job poster

Anusha Boora

Recruiter @ Keylent

View Profile

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Reading, Pennsylvania

•

Today

AI Role Required Qualifications Education Bachelors degree in Computer Science, Data Science, Engineering, Information Technology, or related field. Master's degree preferred. Technical Skills Strong hands-on experience developing production-grade applications using Python 3.11+. Experience designing and implementing agentic AI systems and intelligent automation workflows. Hands-on experience with Amazon SageMaker for machine learning model development, training, deployment, and monitoring

Easy Apply

Contract, Third Party

Depends on Experience

Sr. AI/ML Engineer - Reading PA, Onsite. Must attend In person Interview. Need strong experience with Python, SageMaker, Dataiku, Agentcore, LangGraph, CrewAI, MCP

Reading, Pennsylvania

•

5d ago

Immediate Need In person is mandatory Location: Reading PA, Onsite AI/ML Engineer: Python, SageMaker, Dataiku, Agentcore, LangGraph, CrewAI, MCP

Easy Apply

Third Party, Contract

Depends on Experience

Senior Data Engineer | Reading, PA (Day 1 Onsite)| F2F Client Interview | 12+ Yrs | Talend, Kafka, PySpark, Python, EMR, AWS Glue, Athena, Flink, APIs, Microservices, Data Pipelines, Data Streams, Data Warehouse, Data Lake, Lakehouse, Data Modeling, Data Quality, Data Observability, Data Governance, On-Prem & Cloud Architecture

Reading, Pennsylvania

•

7d ago

Senior Data Engineer -Reading PA- location - F2F interview for client round 12 plus years of experience across Experience with Talend, Kafka, PySpark, Python, EMR. Glue, Athena, Flink Experience with API''s, Microservices, Data Pipelines , Data Streams Experience in Data warehouse, Data Lake, Lakehouse , Data Modeling across all these platforms Experience in Data Quality, Data Observability and Data Governance Experience in OnPrem and OnCloud architectures

Easy Apply

Third Party, Contract

Depends on Experience

Sr Java Fullstack Lead / Architect - Reading PA - Onsite- InPerson Interview is a MUST

Reading, Pennsylvania

•

19d ago

Immediate Need -Sr Java Fullstack Lead / Architect - Reading PA - Onsite ; - InPerson Interview is a MUST.Java, Spring Boot, Cloud, Openshift, CI/CD, FULL stack, Data/Analytics/Business Intelligence, AI/ML

Easy Apply

Contract, Third Party

Depends on Experience