AI Accelerated Integration Engineer

IPolarity

Atlanta (GA)

On-site

USD 120,000 - 150,000

Full time

2 days ago
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Job summary

IPolarity in Atlanta, GA is seeking an AI Accelerated Integration Engineer to design and optimize data pipelines with Python and to build scalable serverless REST APIs using AWS Lambda and API Gateway.

You will leverage AI-powered development tools to accelerate coding, testing, and documentation while delivering production-ready solutions in a fast-paced environment.

Qualifications

  • 6+ years of software/data engineering or related field experience.
  • Strong Python programming and data processing capabilities.
  • Hands-on REST API development and AWS Lambda/serverless experience.

Responsibilities

  • Design and optimize Python data ingestion and transformation pipelines.
  • Build and maintain serverless REST APIs using AWS Lambda and API Gateway.
  • Use AI-powered tools to accelerate coding, testing, and documentation.
  • Integrate AWS serverless services with enterprise data platforms for reliable messaging.
  • Deliver high-quality software within accelerated timelines.
  • Write clean, well-tested code following enterprise standards.

Skills

Python
AWS Lambda
REST APIs
Data processing
Pandas
PySpark
AWS Kinesis
AWS SQS
EventBridge
API Gateway
AI-powered development tools

Tools

Databricks

Job description

Job Title: AI Accelerated Integration Engineer

Location: Atlanta, GA

Work Arrangement: Onsite

Mandatory Skills: Python, AWS Lambda, REST APIs

Job Description

We are seeking an AI Accelerated Integration Engineer with strong Python development skills, hands-on AWS serverless experience, and expertise in building REST APIs and data pipelines. The ideal candidate will leverage AI-powered development tools to accelerate coding, testing, and documentation while delivering production-ready solutions.

Key Responsibilities
  • Design, develop, and optimize data ingestion and transformation pipelines using Python and modern data processing frameworks.
  • Build, deploy, and maintain scalable serverless REST APIs using AWS Lambda and API Gateway.
  • Utilize AI-powered coding assistants to accelerate software development, generate automated test suites, and create technical documentation.
  • Integrate serverless AWS services with enterprise data platforms to ensure reliable message delivery and state management.
  • Work in a fast-paced development environment, delivering high-quality software within accelerated timelines.
  • Write clean, maintainable, and well-tested code following enterprise development standards.
Required Skills and Qualifications
  • 6+ years of experience in software engineering, data engineering, or a related field.
  • Strong proficiency in Python programming and data processing.
  • Hands-on experience developing and integrating REST APIs.
  • Practical experience with AWS Lambda and serverless application development.
  • Strong knowledge of AWS integration services, including:
  • Amazon Kinesis
  • AWS Lambda
  • Amazon SQS
  • Amazon EventBridge
  • Amazon API Gateway
  • Experience with Python data processing frameworks such as Pandas and PySpark.
  • Understanding of enterprise integration patterns, event-driven architectures, and data handling.
  • Proficiency in using AI-powered development tools to accelerate coding, testing, debugging, and documentation.
Preferred Qualifications
  • Familiarity with Databricks and modern data platforms.
  • Experience building scalable data pipelines and cloud-native applications.
  • Ability to rapidly prototype, develop, test, and deploy production-grade solutions.
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