AWS Python AI Engineer (Agentic AI)

Job Title: AWS Python AI Engineer (Agentic AI)

Location: Malvern, PA

Employment Type: Contract

Experience Required: 8 10 Years

Job Overview

We are seeking an experienced AWS Python AI Engineer with strong expertise in Agentic AI, Python development, AWS cloud services, and API integration. The ideal candidate will be responsible for designing, developing, and deploying scalable cloud-native applications and AI-driven solutions while leveraging modern DevOps and CI/CD practices.

This role requires hands-on experience with AWS services, REST API development, machine learning technologies, and intelligent automation frameworks to support enterprise-scale digital transformation initiatives.

Key Responsibilities

• Design, develop, and maintain cloud-native applications using Python and AWS services.
• Build and implement Agentic AI solutions, intelligent workflows, and AI-powered automation capabilities.
• Develop and integrate RESTful APIs and microservices.
• Design scalable data processing and analytics solutions using PySpark.
• Develop serverless applications using AWS Lambda and event-driven architectures.
• Build integrations between enterprise systems, cloud services, and AI platforms.
• Develop and optimize SQL queries for data processing and reporting.
• Implement monitoring, logging, and alerting using AWS CloudWatch.
• Participate in architecture reviews, code reviews, and technical design discussions.
• Collaborate with cross-functional teams in Agile development environments.
• Support production deployments, troubleshooting, and performance optimization.
• Implement CI/CD pipelines and DevOps best practices to ensure efficient software delivery.

Required Skills

Programming & Development

• Strong hands-on experience with Python development.
• Experience building scalable enterprise applications and APIs.
• Core Java knowledge and development experience.
• Strong understanding of Object-Oriented Programming (OOP) concepts.

Agentic AI & Machine Learning

• Hands-on experience with Agentic AI frameworks and AI-driven automation.
• Experience building AI-powered workflows, agents, and intelligent decision-making systems.
• Knowledge of Machine Learning concepts and model integration.
• Experience leveraging AI tools and frameworks within enterprise applications.

AWS Cloud Technologies

• Amazon S3
• EC2
• DynamoDB
• AWS Lambda
• SNS
• SQS
• CloudWatch
• IAM and Security Best Practices

API & Integration

• REST API Development
• API Integration
• Microservices Architecture
• JSON/XML Data Processing
• Enterprise System Integration

Data Engineering

• PySpark
• SQL
• Data Processing & Transformation
• Cloud-Based Data Pipelines

Testing & Quality Engineering

• JUnit
• Cucumber
• Automated Testing Frameworks
• Unit Testing and Integration Testing

DevOps & CI/CD

• Jenkins
• Maven
• Git
• Bitbucket
• Bamboo
• SVN
• CI/CD Pipeline Development
• Source Code Management

Preferred Skills

• Experience with Generative AI and Large Language Models (LLMs).
• Knowledge of Retrieval-Augmented Generation (RAG) architectures.
• Experience with containerization technologies such as Docker and Kubernetes.
• Exposure to MLOps and AI model deployment strategies.
• Experience with cloud-native application modernization initiatives.
• Familiarity with event-driven and serverless architectures.

Technical Environment

Languages

• Python
• Core Java
• SQL

Cloud Platforms

• AWS

AWS Services

• S3
• EC2
• DynamoDB
• Lambda
• SNS
• SQS
• CloudWatch

AI & Data Technologies

• Agentic AI
• Machine Learning
• PySpark

Testing Tools

• JUnit
• Cucumber

DevOps Tools

• Jenkins
• Maven
• Git
• SVN
• Bitbucket
• Bamboo

Education

• Bachelor s Degree in Computer Science, Information Technology, Data Science, Engineering, or related field.

Top Required Skills

1. Python Development & Agentic AI
2. AWS Cloud Services (S3, EC2, Lambda, DynamoDB, SNS, SQS, CloudWatch)
3. REST API Development & Integration