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 Python Development & Agentic AI AWS Cloud Services (S3, EC2, Lambda, DynamoDB, SNS, SQS, CloudWatch)

REST API

Development & Integration