Automation Engineer (AI Systems)

About the role:

The Automation Engineer is responsible foridentifying, designing, and deploying intelligent automation systems thateliminatemanual 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 toidentifymanual, 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 usingLangChainor 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

About Us:

Headquartered in Dallas, Texas, Divcon delivers fully integrated automation solutions nationwide