Automation Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, create, and implement comprehensive AI-driven workflows.

• Connect various AI models, agents, APIs, and business applications.

• Develop multi-step workflows that include information extraction, classification, analysis, and document generation.

• Create reusable automation components that serve multiple client engagements.

• Implement validation processes involving human oversight, error management, and workflow monitoring.

• Develop and coordinate AI agents for different phases of business processes.

• Integrate LLM platforms like OpenAI, Claude, and Gemini via APIs.

• Construct workflow automations utilizing n8n, Make, Zapier, or similar platforms.

• Develop API integrations, webhooks, and structured data exchanges.

• Create AI-assisted processes for extracting information from questionnaires, documents, and discovery notes.

• Automate the consolidation and classification of client information.

• Identify business processes, operational bottlenecks, manual tasks, and opportunities for automation.

• Generate structured discovery outputs and assist in preparing client deliverables.

• Implement validation processes to ensure that AI-generated outputs are accurate and traceable.

• Collaborate with Maintain's question bank, Python scripts, questionnaires, and scheduling workbooks.

• Integrate AI capabilities into existing document generation workflows.

• Develop workflows that support the complete Automation Map delivery lifecycle.

• Assist in automating the analysis and prioritization of business automation opportunities.

• Continuously enhance the efficiency, accuracy, and scalability of the methodology.

• Document workflow architectures, integrations, and automation logic.

• Test, troubleshoot, and optimize deployed solutions.

• Implement security, privacy, and data handling protocols.

• Identify opportunities for improving existing systems and internal processes.

• Collaborate closely with business leadership and the consulting team to shape the AI and automation strategy.

⛳️ Requirements

• A minimum of 4–5 years of relevant professional experience in AI engineering, automation engineering, software development, systems integration, or a closely related technical field.

• Proven experience in designing, developing, and deploying AI-powered workflows and automation solutions in business settings.

• Practical experience integrating Large Language Models (LLMs), such as OpenAI, Claude, Gemini, or equivalent platforms, into business applications and workflows.

• Experience in building multi-step automation workflows that involve AI models, agents, conditional logic, data processing, and system integrations.

• Strong understanding of REST APIs, webhooks, JSON, and application integrations.

• Hands-on experience with automation platforms like n8n, Make, Zapier, or similar.

• Experience in designing structured prompts, AI agents, and orchestrated workflows.

• Ability to extract, process, classify, and structure information from documents and business data.

• Demonstrated ability to independently design, build, test, deploy, troubleshoot, and maintain technical solutions.

• Strong analytical, problem-solving, and solution-design skills.

• Capability to translate business requirements and operational challenges into practical technical solutions.

• Proficiency in Python programming and scripting, particularly for data processing, integrations, and document generation.

• Experience in developing multi-agent AI architectures and agentic workflows.

• Familiarity with Retrieval-Augmented Generation (RAG), vector databases, and AI-powered knowledge bases.

• Experience in integrating AI solutions with CRM, ERP, Microsoft 365, Google Workspace, or other enterprise applications.

• Experience in automated document processing, extraction, and generation.

• Understanding of workflow orchestration, monitoring, error handling, and human-in-the-loop validation.

• Experience in business process automation, operational improvement, or digital transformation projects.

• Experience in deploying and maintaining AI solutions in production environments.

• Practical capability in AI/LLM implementation; experience does not have to be limited to generative AI.

🏝️ Benefits

• 100% Remote Work – Enjoy the flexibility of working remotely without the need for daily commuting.

• Competitive Compensation – Receive an attractive salary or contract rates based on experience, technical skills, and the value you provide.

• Build & Own – Take charge of designing and constructing AI-powered solutions from scratch, with the chance to see your work deployed and making a significant business impact.

• Creative & Technical Autonomy – Enjoy the freedom to explore technologies, propose solutions, and influence technical decisions.

• Work with Emerging AI Technologies – Gain hands-on experience with LLMs, AI agents, intelligent automation, and evolving AI orchestration frameworks.

• Direct Leadership Collaboration – Work closely with business leadership and have a meaningful voice in shaping the company's AI and automation strategy.

• Make a Tangible Impact – Contribute to transforming how businesses operate and how automation consulting services are designed and delivered.

• Room to Grow – Expand your technical expertise and advance within an evolving technology business.