Lead AI Automation & Integration Engineer

Reference: 26567Location: Chicago, IL, United StatesIndustry: Technology & SoftwarePosted: 2026-08-24Contact: Ethan HudsonEmail: View email address on click.appcast.io: 13176505687Job Title Lead AI Automation & Integration EngineerLocation Remote (US / Anywhere)About the Opportunity Drive the creation of next-generation automation workflows and intelligent data pipelines for an expanding market intelligence and data analytics platform. This hands-on role invites an experienced integrator to design scalable data extraction systems and deploy custom generative AI agents in a fast-paced environment. If you excel at transforming complex raw datasets into streamlined operational solutions, this opportunity offers high-impact visibility alongside an advanced data team.ResponsibilitiesDesign and deploy scalable data extraction pipelines leveraging custom Python scripts and modern web scraping frameworks.Build and optimize multi-system automated workflows utilizing low-code/no-code platforms to connect databases, SaaS applications, 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 database systems and construct SQL queries to safeguard data integrity across connected systems.Monitor, troubleshoot, and fine-tune automated processes and scraping systems to ensure maximum operational uptime.Requirements5+ years of dedicated experience in API development, web data extraction, and complex systems integration.Advanced Python proficiency with proven application in web scraping frameworks (such as Scrapy, Playwright, or BeautifulSoup) and custom API development.Demonstrated experience building and maintaining complex, multi-step automations using platforms like Zapier or n8n.Hands-on experience implementing generative AI models (OpenAI, Claude) and visual agent orchestration builders, along with chat observability platforms.Solid SQL skills and working familiarity with relational databases and enterprise data warehouses (e.g., Snowflake, PostgreSQL).Deep comprehension of system integration essentials, including REST APIs, JSON, webhooks, and standard authentication protocols (OAuth2).Working knowledge of AWS cloud infrastructure, specifically Lambda, EC2, and S3.Preferred QualificationsPractical background building complete end-to-end conversational AI workflows and production chat applications.Familiarity with enterprise web scraping platforms (e.g., Apify) or custom browser extension engineering.Experience integrating enterprise CRM platforms, such as Salesforce.Familiarity with modern data stack tooling including DBT, Prefect, Docker, and Terraform.Compensation & BenefitsCompetitive base salary and performance-driven bonuses.Comprehensive medical and dental coverage.Flexible remote work arrangements and professional development support.Standard Equal Employment Opportunity (EEO) commitment.#LI-EH1