Automation Engineer (AI Systems)

About the role:

TheAutomation Engineeris responsible for identifying, designing, and deploying intelligent automation systems that eliminate manual processes across the organization. 

This role transforms repetitive business workflows into scalable, AI-driven systems using modern orchestration platforms such as n8n, LangChain, and API-connected services. 

You will work closely with software developers, engineers, project managers, finance, and operations to engineer reliable automation pipelines that improve accuracy, speed, and operational leverage. 

This is a hands-on engineering role focused on implementation—not research or experimentation. 

Key Responsibilities:

Identify and Prioritize Automation Opportunities 

• Audit internal workflows to identify manual, repetitive, or error-prone tasks 

• Quantify time savings and operational impact of automation initiatives 

• Prioritize automation projects based on measurable ROI 

• Conduct discovery sessions with department leaders to surface impactful use cases 

• In conjunction with executive leadership, architect automation roadmap aligned with strategic priorities 

Develop & Deploy AI-Driven Automation 

• Build workflow orchestration pipelines using n8n 

• Design and implement agent-based systems using LangChain or similar frameworks 

• Develop LLM-powered solutions including structured output pipelines, RAG, tool-calling agents, and document automation 

• Integrate across company systems (CRM, ERP, ticketing, telemetry platforms, internal tools) 

Engineer Reliable Systems 

• Design automation with proper logging, validation, and error handling 

• Implement safeguards around data security and access control 

• Develop reusable automation templates and internal standards 

• Maintain organized repositories including version control, documentation, and release notes 

Collaborate Cross-functionally 

• Partner with other teams, especially engineering and Software Developers to productionize scalable solutions when needed 

• Participate in design reviews and architecture discussions 

• Ensure automation systems align with internal development standards 

• Liaise effectively across functions to ensure stakeholder buy-in and oversee change management 

Support & Continuous Improvement 

• Monitor automation performance and reliability 

• Troubleshoot integration failures and workflow gaps 

• Iterate on deployed agents to improve accuracy and efficiency

Qualifications:

• 5+ years in automation engineering, systems integration, or software development, with principal focus on integration of artificial intelligence systems in business processes 

• Hands-on experience with workflow orchestration platforms (n8n, Zapier, Make, or similar) 

• Experience integrating REST APIs and external services 

• Experience working with LLM platforms and agent orchestration frameworks 

• Strong understanding of API authentication, JSON data transformation, workflow branching, logging, and observability 

• Ability to move from concept to working deployment quickly 

• Skilled at translating business requirements into technical solutions and communicating effectively with non-technical stakeholders 

Preferred Qualifications 

• Experience building RAG pipelines and vector database integrations 

• Familiarity with structured prompting and output validation techniques 

• Experience working alongside engineering teams in production environments 

• Familiarity with Docker, cloud deployment, or CI/CD pipelines 

• Experience in industrial, automation, or mission-critical environments 

What Success Looks Like 

• Manual workflows replaced with reliable automated systems 

• Measurable reduction in labor hours across departments 

• AI agents deployed into daily operational processes 

• Clean, maintainable automation architecture adopted company-wide 

• Clear documentation and repeatable automation standards established