Minimum qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related field, or equivalent practical experience.
• 2+ years of software engineering, automation engineering, AI engineering, backend integration, or internal tools experience.
• Experience building scripts, APIs, automations, dashboards, ETL flows, OCR/data extraction pipelines, or AI-assisted operations tools.
• Comfortable working with Git, JSON, REST APIs, databases, logs, and cloud-based tools.
• Interest in building automation that is practical, maintainable, measurable, and useful for real teams.

Job Description:

As an AI Automation Engineer at Aiotrix, you will build intelligent automations that remove repetitive work from business operations. This role focuses on enterprise integration, legacy systems, ETL-style data movement, OCR and extraction pipelines, and practical AI automation for operational teams.

You will design automations for document processing, extraction, classification, summarization, reporting, notifications, scheduled jobs, approvals, and business operations optimization across Aiotrix products and client solutions.

Responsibilities:

• Build AI-powered automations for document processing, OCR, data extraction, classification, reporting, notifications, approvals, and operational routing.
• Integrate LLMs, APIs, databases, spreadsheets, CRMs, ERPs, webhooks, dashboards, email systems, and legacy tools into reliable automation flows.
• Design ETL-style pipelines for ingesting, transforming, validating, enriching, and routing operational data.
• Create prompts, structured outputs, validation rules, exception handling, and fallback logic for automation reliability.
• Design scheduled jobs, event-based triggers, reconciliation steps, audit logs, and human approval flows.
• Test automations across edge cases, failure states, messy documents, user inputs, and changing enterprise data formats.
• Collaborate with product and engineering teams to convert repeated business operations into intelligent automation systems.
• Document automation logic, dependencies, data mappings, system behavior, and handoff processes clearly.

Preferred qualifications:

• Experience with Python, JavaScript, TypeScript, APIs, scripting, databases, ETL concepts, and workflow automation.
• Exposure to LLM APIs, prompt design, structured outputs, OCR, document processing, data extraction, or classification pipelines.
• Understanding of enterprise integration, business process automation, webhooks, scheduled jobs, data mappings, and event-driven workflows.
• Ability to think in systems and identify where AI can reduce repetitive work responsibly.
• Experience with automation tools, backend services, internal tooling, CRMs, ERPs, or legacy system integrations is a plus.
• Strong debugging skills and attention to reliability, validation, and user control.