AI & Automation Engineer

This is a hands-on, individual-contributor role for someone who can turn business requirements into working AI tools, automate manual processes, integrate business systems, and drive adoption among non-technical teams. You will work directly with senior business leadership, own technical implementation, and make key decisions independently. The role combines AI engineering, workflow automation, enterprise systems integration, and business process transformation. There is potential to build a small technical team as the function grows.

The core responsibilities for the job include the following:

Build and deploy AI solutions:

• Develop AI agents and applications for customer inquiries, business intelligence, and operational workflows.
• Build end-to-end solutions using LLM APIs, retrieval-augmented generation (RAG), workflow automation, and relevant full-stack technologies.
• Translate business requirements into functional tools with clear acceptance criteria.
• Deploy, monitor, and maintain solutions; troubleshoot issues; manage output quality; and optimize operating costs.

Drive business systems integration:

• Represent the organization in ERP evaluation and implementation, working alongside external technology vendors.
• Coordinate vendor relationships across functions such as HR, finance, and administration.
• Integrate business applications, including CRM and accounting systems, to reduce manual data entry and fragmented workflows.

Lead AI adoption and process transformation:

• Map existing departmental workflows and identify high-impact opportunities for AI and automation.
• Assess where automation is appropriate and where existing processes should remain unchanged.
• Train non-technical teams, drive adoption, and support users after deployment.
• Track measurable outcomes, including time saved, cost reduction, and operational efficiency.

Establish systems and data foundations:

• Improve data hygiene and structure spreadsheet-driven processes.
• Build reliable foundations for integrations, automation, and future AI initiatives.

Requirements:

• Several years of hands-on AI or automation delivery experience.
• Evidence of personally building and deploying AI-driven tools used by non-technical users.
• Practical experience with LLM APIs, RAG, and workflow automation platforms such as n8n, Zapier, or Power Automate.
• Sufficient full-stack engineering capability to deliver working solutions across backend, frontend, integrations, and deployment.
• Experience operating independently in a lean environment, making technical decisions and owning delivery end-to-end.
• Experience working with external vendors on business-system implementations or integrations, such as ERP, CRM, or accounting platforms.
• Ability to train non-technical stakeholders, manage adoption challenges, and demonstrate measurable business impact.
• Strong problem-solving skills and the ability to translate business needs into practical technical solutions.

Good to Have:

• Exposure to SAP, Tally, or other ERP and accounting systems.
• Experience in real estate, PropTech, or other businesses with spreadsheet-heavy and legacy-tool-driven operations.
• Experience establishing a new technical function or mentoring and hiring engineers.
• Experience in an in-house technology team, consulting, or implementation environments.