Senior AI Automation Engineer

Summary

Join Luxury Presence as a Senior AI Automation Engineer and lead the development of scalable, intelligent automation systems. Design and implement workflows to reduce manual effort, improve data quality, and streamline internal operations. Leverage your deep understanding of automation orchestration platforms and AI to integrate LLMs and intelligent APIs. Own the full lifecycle of your solutions, from requirements to deployment and iteration. Success requires technical fluency, independent work, and balancing innovation with reliability. The role involves building automations, rapid prototyping, API utilization, CRM integration, data manipulation, systems improvement, testing, documentation, and maintenance. You will act as an internal product owner for the tools and automations you build.

Requirements

• 3–5 years of experience in an automation, process improvement, business operations, or systems enablement role in a high-growth environment where speed, detail, and autonomy are expected
• Deep hands-on experience with low-code/no-code platforms such as: n8n, Zapier, Make, Workato, or others and strong technical familiarity with CRM systems, particularly HubSpot or Salesforce
• Self-driven and adaptable — you’re a quick learner who can independently ramp up on new platforms, APIs, or tools, and enjoy figuring things out in fast-changing environments
• Passionate about leveraging AI — You bring deep experience integrating LLMs or AI APIs (like OpenAI, Claude, or Gemini) into automation workflows to drive intelligent decision-making, classification, or summarization
• An eye for system design and a bias toward curiosity — you ask “why,” not just “how,” and know how to balance perfection with pragmatism. You approach blockers with creativity, resourcefulness, and a problem-solving mindset
• Act as an internal Product Owner for the tools and automations you build—owning their full lifecycle, from initial development to usability, documentation, iterative improvements, and long-term maintenance
• Fluency with modern APIs and structured data — Confident working with structured data formats like JSON and XML, and experienced in consuming RESTful and GraphQL APIs using tools such as Postman or browser dev tools
• Proficient in designing resilient, decision-based workflows — including complex conditional logic (branching, loops, filters, error handling), time-based automations (cron jobs, scheduled triggers), and asynchronous patterns (webhooks, polling, event-driven logic)
• Strong written communicator and systems collaborator — you write clear documentation, create technically detailed tickets, and keep stakeholders informed using asynchronous tools like Slack, Notion, Coda, Linear, or Asana
• Understanding of data normalization and sync strategies — especially in multi-source environments where records may originate or be updated across multiple platforms (e.g., CRM, billing, support tools, or disparate third party vendors). You know how to design automations that standardize data formats, manage field mappings, prevent duplication or data drift, and handle partial updates or conflicting source-of-truth scenarios
• Familiarity with databases and data modeling — including vendors like Airtable, PostgreSQL, Supabase, or similar, and baseline understanding of SQL
• Understanding of modern integration patterns — including authentication protocols like OAuth2, API key/token-based auth, and JWT. Able to confidently manage secure connections between platforms and troubleshoot token lifecycles or permission scopes
• A knack for debugging and deciphering error logs, failed jobs, and webhook mysteries

Responsibilities

• Build Automations – Develop and maintain end-to-end automations across systems using low-code/no-code iPaaS and RPA tools, ensuring reliability and scalability
• Rapid Prototyping & Delivery – Quickly translate scoped automation needs into tangible solutions by spinning up lightweight proofs of concept or conducting feasibility assessments—delivering insights in short, iterative build cycles
• Leverage APIs – Utilize various APIs to connect platforms, enrich process logic or data flows, and extend the capabilities of internal and third-party platforms
• CRM Integration & Enhancement – Build workflows, optimize processes, and manage automation integrations between CRMs (i.e. Salesforce, Hubspot) and other internal tools
• Data Structuring & Manipulation – Normalize, transform, and move JSON or other structured payloads cleanly through workflows to ensure clean handoffs and outputs in automations
• Systems Improvement – Identify and recommend minor configuration changes, upgrades, and add-ons in CRM and automation platforms that pave the way for new functionality or improvements on existing and future automations and processes
• Testing & QA – Validate solutions before handoff, build guardrails for fail-safe execution, and establish clear logging and error alerts
• Documentation & Maintenance – Create clean technical documentation and ensure automations are reliable, maintainable, and scalable

Preferred Qualifications

• Experience with RPA tools like UiPath, Automation Anywhere, or Robocorp
• Experience with workflow observability and logging tools
• Experience with browser automation frameworks like Playwright (or similar tools such as Puppeteer or Selenium) — used for automating interactions with web interfaces, scraping structured data, or validating UI flows as part of automated workflows
• Baseline understanding of HTML, CSS, and other web technologies — enough to inspect DOM elements, understand frontend structure, and support automation or scraping efforts when needed
• Comfort with CLI tools and scripting environments — proficient using terminal-based utilities and lightweight scripts (e.g., curl, bash) for tasks like triggering webhooks, testing APIs, manipulating data, or interacting with cloud platforms
• Familiarity with data lifecycle and compliance practices, especially for automations that touch sensitive or regulated data
• Native proficiency in modern scripting languages such as JavaScript, Node.js , and Python—used to build custom logic, extend automation platforms, or develop utilities beyond the capabilities of low-code tools