Hi,
Hope you are doing well
I have an urgent opening of AI Engineer at Reading, PA
Position Type: Right to Hire
Location: Reading, PA, United States
Description:
Interview : Video + F2F
Reading, PA OR Tampa, FL | Hybrid (2-3 days onsite per week), Reading, PA is the manager's 1st choice, Tampa, FL is 2nd.
Need local candidates within 1 hour of driving distance
Description :
Summary
We are seeking an experienced AI Engineer to design, build, and deploy production-ready AI and machine learning solutions in a large enterprise environment.
This is a hands-on engineering role focused on building intelligent applications, agentic AI workflows, and scalable ML solutions on AWS. The ideal candidate combines strong Python/software engineering skills with practical experience in Generative AI, machine learning, and cloud-based AI platforms.
Responsibilities
- Design and develop AI-powered applications and agentic workflows using Python 3.11+.
- Build, train, deploy, and monitor ML models using Amazon SageMaker.
- Develop end-to-end ML workflows covering feature engineering, deployment, monitoring, and model lifecycle management.
- Build agentic and multi-agent AI solutions using LangGraph, CrewAI, AutoGen, or similar frameworks.
- Work with LLMs, RAG architectures, prompt engineering, and knowledge retrieval.
- Integrate AI agents with APIs, enterprise systems, databases, and external tools.
- Utilize AWS Bedrock and emerging AgentCore capabilities for enterprise agentic AI.
- Use Dataiku for data preparation, analytics, feature engineering, and ML workflows.
- Partner with data scientists, architects, engineering teams, and business stakeholders to operationalize AI solutions.
- Develop reusable AI components and deployment patterns with an emphasis on scalability, reliability, security, observability, and cost.
Qualifications
- Strong hands-on Python development experience.
- Experience developing production AI/ML applications.
- Hands-on Amazon SageMaker experience.
- Experience with Generative AI, LLMs, RAG, and agentic AI architectures.
- Experience with agent orchestration frameworks such as LangGraph, CrewAI, AutoGen, or equivalent.
- Strong understanding of ML engineering, MLOps, model deployment, monitoring, and lifecycle management.
- AWS cloud experience.
- Experience integrating APIs, databases, or enterprise applications into AI solutions.
Highly Preferred
- Dataiku
- AWS Bedrock / AgentCore
- Model Context Protocol (MCP)
- Vector databases and knowledge retrieval
- LangChain or LlamaIndex
- Docker, Kubernetes, Terraform, GitHub Actions, or CI/CD
- Experience building AI solutions in a large enterprise environment
Regards,
Nitin Gupta
Resources Manager
ShiftCode Analytics Inc.,
5118 Sylvester loop Tampa,
Florida 33610
Direct:
Email:
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