AI Engineer – SageMaker & Agentic AI | Reading, PA
Build production-ready AI and machine learning solutions in a hybrid role based in Reading, PA. This opportunity offers a $65-$80 hourly and the chance to work with Python, Amazon SageMaker, AWS Bedrock AgentCore, and modern agentic AI technologies.
Quick Facts
- Location: Reading, PA; hybrid
- Hourly: $65-$80
- License/Certs: No specific license or certification required; AWS certifications are a plus
- Experience: Hands-on experience developing production-grade AI, machine learning, or agentic AI solutions
What You’ll Do
- Design, develop, and deploy AI-powered applications and agentic workflows using Python 3.11+.
- Build, train, evaluate, deploy, monitor, and manage machine learning models with Amazon SageMaker.
- Develop end-to-end ML workflows covering feature engineering, model training, deployment, monitoring, and lifecycle management.
- Architect agentic AI solutions using AWS Bedrock AgentCore, including runtime, memory, identity, and tool gateway capabilities.
- Design multi-agent systems using frameworks such as LangGraph, CrewAI, AutoGen, or similar platforms.
- Integrate enterprise APIs, databases, external tools, and services using Model Context Protocol and modern agent integration patterns.
- Collaborate with business stakeholders, data scientists, architects, and engineering teams to deliver scalable, secure, reliable, and cost-effective AI solutions.
What You Need
Required
- Bachelor’s degree in Computer Science, Data Science, Engineering, Information Technology, or a related field.
- Strong hands-on experience developing production-grade applications with Python 3.11+.
- Experience designing and implementing agentic AI systems and intelligent automation workflows.
- Hands-on experience with Amazon SageMaker for model development, training, deployment, and monitoring.
- Understanding of machine learning algorithms, model evaluation, feature engineering, MLOps, and model lifecycle management.
- Knowledge of large language models, retrieval-augmented generation, prompt engineering, and agent-based architectures.
- Experience integrating enterprise APIs, databases, or third-party services into AI workflows.
- Familiarity with AWS cloud architecture, serverless services, and scalable application design.
Preferred
- Experience with AWS Bedrock AgentCore, including Agent Runtime, Memory, Identity, and Tool Gateway capabilities.
- Experience with Dataiku for data preparation, analytics, feature engineering, or model development.
- Experience with LangGraph, CrewAI, AutoGen, LangChain, LlamaIndex, or equivalent tools.
- Experience with generative AI, RAG architectures, vector databases, and knowledge retrieval systems.
- Knowledge of AI governance, security, observability, or responsible AI practices.
- Familiarity with CI/CD, GitHub Actions, Terraform, Docker, Kubernetes, or other DevOps/MLOps tools.
- AWS Certified Solutions Architect – Associate, AWS Certified Developer – Associate, or AWS Certified AI Practitioner certification.
- Strong communication, analytical, collaboration, and stakeholder management skills.
About the Assignment
This role supports a technology team focused on building developmental AI solutions and modernizing legacy applications and systems. The successful candidate will bridge software engineering, machine learning, and agentic AI architecture to deliver scalable, production-ready solutions that create measurable business value.
NextPath is an Equal Opportunity Employer (“EEO”)/Protected Veterans/Individuals with Disabilities/E-Verify Employer and welcomes all to apply to NextPath. #LI-DV1 #LI-Hybrid
Unfortunately, at this time our client is unable to sponsor or transfer visas. Only candidates authorized to work in the US without sponsorship should apply.