Remote AI Automation & Data Integration Engineer

Objective Partners; Chicago (IL); On-site; USD 150,000 - 200,000; Full time

Job summary

Objective Partners seeks a Lead AI Automation & Integration Engineer to design and deploy scalable automation workflows for a market intelligence and data analytics platform. This remote role requires hands-on experience with API development, web data extraction, and generative AI agents, collaborating with an advanced data team.

You will build end-to-end data pipelines, manage multi-system integrations, and ensure high uptime across cloud-based infrastructure.

Qualifications

• 5+ years of API development, web data extraction, and complex systems integration.

Responsibilities

• Design and deploy scalable data extraction pipelines using Python and web scraping frameworks.
• Build and optimize multi-system automated workflows with low-code/no-code platforms to connect databases, SaaS apps, and internal tools.
• Develop and integrate intelligent generative AI agents to automate analytical tasks, customer interactions, and content workflows.
• Engineer custom Python webhooks, scripts, and RESTful APIs to extend automation capabilities and integrate proprietary backends.
• Manage relational databases and construct SQL queries to safeguard data integrity across connected systems.
• Monitor, troubleshoot, and fine-tune automated processes and scraping systems to ensure maximum uptime.

Skills

API development

Web data extraction

Complex systems integration

Advanced Python

Generative AI models

Tools

Scrapy

Playwright

BeautifulSoup

Zapier

n8n

OpenAI

Claude

AWS Lambda

AWS EC2

AWS S3

Snowflake

PostgreSQL

Job description

Objective Partners seeks a Lead AI Automation & Integration Engineer to design and deploy scalable automation workflows for a market intelligence and data analytics platform. This remote role requires hands-on experience with API development, web data extraction, and generative AI agents, collaborating with an advanced data team.

You will build end-to-end data pipelines, manage multi-system integrations, and ensure high uptime across cloud-based infrastructure.