AI Integration Engineer

Themesoft Inc; Atlanta (GA); On-site; USD 120,000 - 180,000; Full time

Job summary

The AI Accelerated Integration Engineer at Themesoft Inc will build production-grade data pipelines in Python and develop scalable AWS Lambda REST APIs. You will leverage AI tools to accelerate coding, testing, and documentation while delivering high-impact software rapidly.

The role requires strong Python expertise and hands-on AWS Lambda, Kinesis, and API Gateway experience. You will participate in a fast-paced lifecycle, integrating serverless services with core data platforms to ensure

Qualifications

• Experience: 3 to 6 years of software or data engineering background.

Responsibilities

• Design, build, and optimize data ingestion and transformation pipelines using modern Python data frameworks.
• Develop, deploy, and maintain serverless REST APIs and event-driven architectures on AWS.
• Leverage AI development assistants to rapidly write clean code, generate comprehensive test suites, and produce technical documentation.
• Participate in a high-velocity development life cycle, shifting from traditional multi-day delivery timelines to shipping high-impact products in hours.
• Integrate serverless AWS services with core data platforms to ensure reliable message delivery and state management.

Skills

Python

REST API development

Data engineering

AI tooling

AWS integration concepts

Tools

AWS Lambda

Kinesis

SQS

EventBridge

API Gateway

Databricks

PySpark

Pandas

Job description

Job title: AI Accelerated Integration Engineer

Role Overview

• Build production-grade data pipelines using Python.
• Develop scalable AWS Lambda REST APIs using Python.
• Deliver high-impact software in hours instead of days using AI tools.

Daily Responsibilities

• Design, build, and optimize data ingestion and transformation pipelines using modern Python data frameworks.
• Develop, deploy, and maintain serverless REST APIs and event-driven architectures on AWS.
• Leverage AI development assistants to rapidly write clean code, generate comprehensive test suites, and produce technical documentation.
• Participate in a high-velocity development life cycle, shifting from traditional multi-day delivery timelines to shipping high-impact products in hours.
• Integrate serverless AWS services with core data platforms to ensure reliable message delivery and state management.

Qualifications

• Experience: 3 to 6 years of software or data engineering background.

Required Skills

• Mandatory skills
• Python
• AWS Lambda
• REST API’s
• Data Engineering & Frameworks: Expert-level Python skills with hands-on experience using data frameworks such as Pandas and PySpark for data manipulation and processing.
• Core Skills: Advanced Python programming, data handling, and enterprise integration concepts/patterns.
• AWS Services: Deep operational knowledge of AWS integration offerings, specifically Kinesis, Lambda, SQS, EventBridge (Events), and API Gateway.
• AI Tooling: Super savvy at utilizing AI tools to accelerate coding, testing, and documentation tasks.

Preferred Skills

• Databricks: Familiarity with the Databricks platform is a plus, but not mandatory.

Work Authorization

Applicants must be legally authorized to work in the United States.